Poznań

NobleProg Poznan, Garbary 100/63, Poznań, poland, 61-757

NobleProg Classroom is located on the third floor in the middle staircase of the Casa Verona building at Garbary...

Subcategories (11)

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Business Intelligence
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Data Visualization
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KNIME
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Microsoft Power Platform
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Business Analysis
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System Monitoring
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Data Cleaning
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Spatial Analysis
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Web Analytics
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Databricks
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IBM SPSS Modeler

Explore Our Courses

Google Gemini AI for Data Analysis

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.By the end of this training, participants will be able to:
  • Understand the fundamentals of Google Gemini AI.
  • Connect various data sources to Gemini AI.
  • Explore data using natural language queries.
  • Analyze data patterns and derive insights.
  • Create compelling data visualizations.
  • Communicate data-driven insights effectively.
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Power BI: Basics to Advanced

 35 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level to intermediate-level data professionals who wish to create compelling data visualizations and dashboards with Power BI.By the end of this training, participants will be able to:
  • Import and transform data from various sources.
  • Develop and optimize data models.
  • Create visually appealing and interactive reports and dashboards.
  • Apply best practices in data visualization and dashboard design.
  • Utilize advanced features of Power BI for in-depth data analysis.
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Data Analytics with Python in Power BI

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively. By the end of this training, participants will be able to:
  • Learn how Python can be integrated into Power BI for data analysis.
  • Use Python scripts to load, clean, and preprocess data within the Power BI environment.
  • Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
  • Acquire advanced data analysis skills using Python.
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Business Intelligence Reporting Tool (BIRT)

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level data and business analysts who wish to use BIRT to effectively create and deploy business intelligence reports.By the end of this training, participants will be able to:
  • Understand the architecture and components of the BIRT framework.
  • Design and create informative, dynamic reports using BIRT Report Designer.
  • Use BIRT’s scripting capabilities to add business logic to reports.
  • Optimize and deploy BIRT reports within web applications and standalone applications.
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Introduction to dbt Cloud

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud. By the end of this training, participants will be able to:
  • Create and manage projects on dbt Cloud.
  • Use the dbt Cloud interface to schedule and run data transformations.
  • Collaborate on projects with team members.
  • Deploy their dbt projects to production.
  • Debug and troubleshoot dbt projects.
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PL-300T00: Microsoft Power BI Data Analyst

 21 Hours
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
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Oracle Business Intelligence (OBI)

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to leverage Oracle BI to extract valuable insights from their data. By the end of this training, participants will be able to:
  • Navigate and utilize the Oracle BI interface effectively.
  • Create and customize reports and dashboards tailored to business needs.
  • Conduct ad-hoc analysis using various BI tools.
  • Utilize advanced features for comprehensive data exploration.
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AWS Glue Fundamentals

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline. By the end of this training, participants will be able to:
  • Understand the fundamentals of AWS Glue.
  • Set up an AWS Glue pipeline.
  • Set up AWS Glue crawlers and jobs.
  • Learn how to use AWS Glue transformations.
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SAS Business Intelligence (BI)

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to harness the power of SAS BI to extract meaningful insights from data. By the end of this training, participants will be able to:
  • Navigate and utilize the SAS BI interface effectively.
  • Create customized reports and dashboards tailored to business needs.
  • Conduct ad-hoc analysis using various BI tools.
  • Leverage advanced features for comprehensive data exploration.
Read more...

Data Analytics with Tableau, Python, R, and SQL

 35 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:
  • Perform data analysis using Python, R, and SQL.
  • Create insights through data visualization with Tableau.
  • Make data-driven decisions for business operations.
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Nagios Certified Administrator Preparation

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level system administrators who wish to prepare for the Nagios Certified Administrator exam. By the end of this training, participants will be able to:
  • Gain a thorough knowledge of Nagios, including installation, configuration, and administration.
  • Use Nagios to monitor networks, servers, and applications.
  • Implement advanced monitoring techniques for diverse IT environments, including cloud and virtualized infrastructures.
  • Configure alerts, manage notifications and generate reports to ensure proactive network management.
  • Take the Nagios Certified Administrator exam with confidence.
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Tableau Forensic Imager

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital forensic purposes.By the end of this training, participants will be able to:
  • Understand the role and importance of digital forensic imaging in investigations.
  • Operate Tableau Forensic Imager to acquire forensically sound images.
  • Apply best practices in handling and preserving digital evidence.
  • Navigate the software interface to configure, execute, and manage imaging tasks.
  • Analyze and validate forensic images to ensure integrity and admissibility in court.
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SAP BusinessObjects Business Intelligence (BI)

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to acquire essential skills in using SAP BusinessObjects BI to transform raw data into meaningful insights. By the end of this training, participants will be able to:
  • Navigate and use the SAP BusinessObjects BI interface.
  • Create and customize business reports and dashboards.
  • Perform ad-hoc analysis using various BI tools.
  • Utilize advanced features for in-depth data exploration.
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IBM Planning Analytics (TM1)

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database. By the end of this training, participants will be able to:
  • Learn how to analyze data using IBM Planning Analytics.
  • Create custom views of the data in a database.
  • Build reports and forms that communicate with TM1.
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Azure Synapse Analytics

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.By the end of this training, participants will be able to:
  • Understand the core concepts, architecture, and components of Azure Synapse Analytics.
  • Create, configure, and manage scalable data warehouses using Azure Synapse.
  • Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
  • Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
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Nagios Certified Professional Preparation

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level system administrators who wish to prepare for the Nagios Certified Professional exam. By the end of this training, participants will be able to:
  • Gain a solid foundation in both Nagios XI and Nagios Core, including their architecture and key components.
  • Monitor hosts, services, and network components effectively using Nagios.
  • Using Nagios for data visualization, dashboards, and reporting.
  • Take the Nagios Certified Professional exam with confidence.
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Grafana and GLPI Administration

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI. By the end of this training, participants will be able to:
  • Create and customize Grafana dashboards with different visualizations.
  • Implement alerting and notifications for monitoring.
  • Administer user accounts, teams, and permissions.
  • Manage IT assets effectively, including hardware and software inventory.
  • Implement a helpdesk system for user support and ticket management.
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PowerBI Integration with SAP Business One

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level business intelligence professionals who wish to have a comprehensive understanding and practical skill set for integrating PowerBI with SAP B1.By the end of this training, participants will be able to:
  • Understand the fundamentals of SAP Business One and PowerBI.
  • Successfully integrate PowerBI with SAP B1, including setting up the necessary tools and connectors.
  • Efficiently extract data from SAP B1 and transform it in PowerBI for effective analysis.
  • Create dynamic and insightful reports and dashboards in PowerBI using data from SAP B1.
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Tableau Server for Architects

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate to advanced-level data architects who wish to learn skills for installing, configuring, managing, and maintaining a Tableau server. By the end of this training, participants will be able to:
  • Have an in-depth understanding of the Tableau Server architecture.
  • Understand Tableau Server processes and functions.
  • User Tableau Server to automate tasks.
  • Configure and manage the Tableau Server.
  • Set up Tableau Server for high availability and scalability.
Read more...

Sisense Business Intelligence

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization. By the end of this training, participants will be able to:
  • Learn the fundamental concepts of Sisense and how it works.
  • Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
  • Merge and manage data from multiple sources.
  • Utilize Sisense for quick data manipulation and visualization.
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Analytic Functions Fundamentals

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions. By the end of this training, participants will be able to:
  • Understand the concept and importance of Analytic Functions.
  • Apply various Analytic Functions to solve complex analytical problems.
  • Combine Analytic Functions with other SQL features for comprehensive data analysis.
  • Optimize queries for better performance using Analytic Functions.
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Data Analysis with MongoDB Aggregation Framework

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines. By the end of this training, participants will be able to:
  • Install and configure MongoDB for data analysis.
  • Understand the concepts and stages of the MongoDB Aggregation Framework.
  • Learn about the basic structure, syntax, and operations for aggregation.
  • Learn how to handle advanced operations in aggregation.
  • Apply some optimization tools and techniques to improve aggregation performance.
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Automated Monitoring with Zabbix

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) covers the installation, planning and configuration of Zabbix, and focuses on practical implementation and tooling.By the end of this training, participants will be able to:
  • Install and configure Zabbix for monitoring IT infrastructure.
  • Set up and manage hosts, items, triggers, and actions within Zabbix.
  • Utilize Zabbix's features for data collection, alerting, and reporting.
  • Integrate Zabbix with other tools and platforms for enhanced monitoring and automation.
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Advanced Nagios

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level systems administrators who wish to learn and utilize the advanced features and components of Nagios for IT monitoring. By the end of this training, participants will be able to:
  • Understand Nagios architecture, components, and advanced monitoring strategies.
  • Implement advanced service monitoring and extend Nagios functionality.
  • Explore Nagios add-ons and advanced techniques.
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Advanced Geographic Information Systems (GIS)

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.By the end of this training, participants will be able to:
  • Apply advanced spatial analysis techniques to solve complex geographical problems.
  • Manage large spatial databases and perform data quality control.
  • Create dynamic and interactive maps and visualizations for various applications.
  • Utilize programming and automation to streamline GIS workflows.
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Matomo

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at analysts who wish to use Matomo to perform web analytics tasks such as generating a detailed report on the usage of a website. By the end of this training, participants will be able to:
  • Understand how Matomo works in analyzing web data.
  • Learn how data is collected and tracked with Matomo.
  • Understand and interpret Matomo reports.
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Mixpanel

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to perform product and user analysis using Mixpanel. By the end of this training, participants will be able to:
  • Learn how to use Mixpanel as a web analytics tool.
  • Understand the Mixpanel concepts and implementation.
  • Understand and interpret event data.
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Advanced Grafana

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis. By the end of this training, participants will be able to:
  • Gain an in-depth understanding of advanced Grafana concepts and components.
  • Leverage template variables and dynamic dashboards for enhanced data visualization.
  • Use Grafana Query Language for complex queries.
  • Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.
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Advanced Elasticsearch and Kibana Administration

 35 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.By the end of this training, participants will be able to:
  • Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
  • Create and manage Elasticsearch indices, mappings, and data models.
  • Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
  • Design and build interactive dashboards in Kibana using various visualization types and techniques.
  • Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.
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Cognos 11

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level data analysts who wish to understand the theoretical aspects of Cognos 11 and also learn how to use it effectively. By the end of this training, participants will be able to:
  • Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
  • Utilize the improved data module and data management features for more efficient data handling.
  • Implement best practices for a smooth transition and optimal use of Cognos 11.
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Alteryx Advanced

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer. By the end of this training, participants will be able to:
  • Learn to use and configure all the tools in the developer tab.
  • Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
  • Learn how to use API tools to download and parse web data.
  • Use Alteryx scripting tools, including Python and R.
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Splunk Fundamentals 2

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon their foundational knowledge acquired in Splunk Fundamentals 1.By the end of this training, participants will be able to:
  • Conduct advanced searches using Splunk's powerful search commands and capabilities.
  • Utilize subsearches, statistical commands, and evaluation functions to analyze data.
  • Create sophisticated reports and dashboards with advanced visualization options.
  • Implement alerts and scheduled reports for monitoring and notification purposes.
Read more...

Advanced JasperReports

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level database professionals who wish to enhance their skills to create complex reports, customize report templates, and integrate JasperReports with other systems.By the end of this training, participants will be able to:
  • Design complex, multi-page reports with advanced layouts, fixed forms with variable sections, and dynamic content.
  • Create advanced charts, graphs, and pivot tables to visualize data, and integrate subreports and grouping for detailed data representation.
  • Implement security measures, manage user permissions, and utilize JasperReports Server for report scheduling and distribution.
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Apache Superset for Administrators

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level to intermediate-level system administrators who wish to set up and manage Apache Superset for their organizations.By the end of this training, participants will be able to:
  • Install and configure Apache Superset.
  • Understand the architecture and features of Superset.
  • Manage user access and security settings.
  • Monitor and optimize the performance of Superset instances.
  • Troubleshoot common issues and perform regular maintenance.
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MicroStrategy for Architects

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner to advanced-level MicroStrategy architects who wish to develop schemas, change management, and use modeling tools to manage the development cycle of MicroStrategy apps. By the end of this training, participants will be able to:
  • Fully understand the concepts and architecture of data warehousing.
  • Understand how to use analytics, desktop objects, and schemas.
  • Build and maintain MicroStrategy projects.
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Power BI DAX Fundamentals

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner to intermediate-level business analysts, data analysts, and developers who wish to learn the fundamentals of DAX in Power BI.By the end of this training, participants will be able to:
  • Have a comprehensive understanding of Data Analysis Expressions (DAX) in Power BI.
  • Create custom calculations and expressions in Power BI for analyzing data and deriving insights.
  • Learn best practices to optimize DAX performance.
Read more...

Data Analysis with SQL, Python, and Tableau

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:
  • Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
  • Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
  • Get a refresher on the fundamentals of Python and SQL.
  • Perform data pre-processing techniques in Python.
  • Learn how to connect Python and SQL for data analysis.
  • Create insightful data visualizations and charts with Tableau.
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SPSS Modeler

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities. By the end of this training, participants will be able to:
  • Understand the fundamentals of data mining.
  • Learn how to import and assess data quality with the Modeler.
  • Develop, deploy, and evaluate data models efficiently.
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Databricks

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks. By the end of this training, participants will be able to:
  • Set up and configure Databricks.
  • Understand how Databricks and Apache Spark work together.
  • Learn how to load and transform data in Databricks.
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Mastering Power Platform: Power Apps, Power Automate, DataVerse, Power BI, and Power Virtual Agents

 35 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level IT professionals who wish to use Power Platform to effectively automate processes and enhance data insights.By the end of this training, participants will be able to:
  • Develop and customize applications using Power Apps.
  • Manage and analyze data with DataVerse and Power BI.
  • Automate complex processes with Power Automate.
  • Design and deploy intelligent chatbots using Power Virtual Agents.
  • Integrate and optimize workflows across the Power Platform suite.
Read more...

Datadog Monitoring

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at developers who wish to learn how Datadog works in monitoring servers, databases, and cloud-based applications and services. By the end of this training, participants will be able to:
  • Learn and understand how the Datadog monitoring tool works.
  • Understand the Datadog core concepts and features.
  • Configure Datadog for infrastructure monitoring and account management.
  • Use Datadog Application Performance Monitoring (APM) and continuous profiling.
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AWS QuickSight

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization. By the end of this training, participants will be able to:
  • Understand the basic concepts of AWS QuickSight.
  • Use AWS QuickSight to create data analysis, reports, and insights.
  • Use AWS to create relationships between data for enhanced analysis.
  • Learn different types of visualizations in understanding data.
Read more...

OrgPlus 6

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business professionals who wish to learn intermediate-level skills for managing organizational charts using OrgPlus 6. By the end of this training, participants will be able to:
  • Handle large data sets with sophisticated formatting tools.
  • Create data visualization reports and directories.
  • Use OrgPlus printing, exporting, and publishing features.
  • Navigate complex charts with ease.
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Jupyter for Data Science Teams

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) introduces the idea of collaborative development in data science and demonstrates how to use Jupyter to track and participate as a team in the "life cycle of a computational idea".  It walks participants through the creation of a sample data science project based on top of the Jupyter ecosystem.By the end of this training, participants will be able to:
  • Install and configure Jupyter, including the creation and integration of a team repository on Git.
  • Use Jupyter features such as extensions, interactive widgets, multiuser mode and more to enable project collaboraton.
  • Create, share and organize Jupyter Notebooks with team members.
  • Choose from Scala, Python, R, to write and execute code against big data systems such as Apache Spark, all through the Jupyter interface.
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A Practical Introduction to Data Analysis and Big Data

 35 Hours
Participants who complete this instructor-led, live training in wielkopolskie will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
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Data Analytics With R

 21 Hours
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.  It covers language fundamentals, libraries and advanced concepts.  Advanced data analytics and graphing with real world data. Audience Developers / data analytics Duration 3 days Format Lectures and Hands-on
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Elasticsearch for Developers

 14 Hours
This instructor-led, live training in wielkopolskie is aimed at software developers who wish to build search and analytics solutions using Elasticsearch. The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application. Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress.
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Data Analysis with Hive/HiveQL

 7 Hours
This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive
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Excel For Statistical Data Analysis

 14 Hours
Audience Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel. Course Objectives This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research. This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
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Excel to Power BI

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI. By the end of this training, participants will be able to:
  • Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
  • Use DAX formulas in Power BI for complex calculations.
  • Create and use visualizations and charts for particular analysis cases.
  • Import with Power View to move from Excel based Power BI to independent Power BI.
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A Practical Introduction to Data Science

 35 Hours
Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science. Audience
  • Developers
  • Technical analysts
  • IT consultants
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Data and Analytics - from the ground up

42 Hours
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions: What has happened?
  • processing and analyzing data
  • producing informative data visualizations
What will happen?
  • forecasting future performance
  • evaluating forecasts
What should happen?
  • turning data into evidence-based business decisions
  • optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
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Data Analysis with Python, Pandas and Numpy

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.By the end of this training, participants will be able to:
  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • Debug and optimize their data analysis code.
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NLP: Natural Language Processing with R

 21 Hours
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data. This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements. By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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Talent Acquisition Analytics

 14 Hours
This instructor-led, live training (online or onsite) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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R Programming for Finance

 28 Hours
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to:
  • Understand the fundamentals of the R programming language
  • Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
  • Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
  • Troubleshoot, integrate deploy and optimize an R application
Audience
  • Developers
  • Analysts
  • Quants
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
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Knowledge Discovery in Databases (KDD)

 21 Hours
Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing. In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes. Audience
  • Data analysts or anyone interested in learning how to interpret data to solve problems
Format of the Course
  • After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
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Python for Geographic Information System (GIS)

 21 Hours
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers. This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
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Apache Kylin: From Classic OLAP to Real-Time Data Warehouse

 14 Hours
Apache Kylin is an extreme, distributed analytics engine for big data. In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse. By the end of this training, participants will be able to:
  • Consume real-time streaming data using Kylin
  • Utilize Apache Kylin's powerful features, rich SQL interface, spark cubing and subsecond query latency
Note
  • We use the latest version of Kylin (as of this writing, Apache Kylin v2.0)
Audience
  • Big data engineers
  • Big Data analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Datameer for Data Analysts

 14 Hours
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion. In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources. By the end of this training, participants will be able to:
  • Create, curate, and interactively explore an enterprise data lake
  • Access business intelligence data warehouses, transactional databases and other analytic stores
  • Use a spreadsheet user-interface to design end-to-end data processing pipelines
  • Access pre-built functions to explore complex data relationships
  • Use drag-and-drop wizards to visualize data and create dashboards
  • Use tables, charts, graphs, and maps to analyze query results
Audience
  • Data analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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HR Analytics for Public Organisations

 14 Hours
This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Dremio for Self-Service Data Analysis

 21 Hours
Dremio is an open-source "self-service data platform" that accelerates the querying of different types of data sources. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and other data sources. It supports SQL and provides a web UI for building queries. In this instructor-led, live training, participants will learn how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories. By the end of this training, participants will be able to:
  • Install and configure Dremio
  • Execute queries against multiple data sources, regardless of location, size, or structure
  • Integrate Dremio with BI and data sources such as Tableau and Elasticsearch
Audience
  • Data scientists
  • Business analysts
  • Data engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Notes
  • To request a customized training for this course, please contact us to arrange.
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IBM Cloud Pak for Data

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions. By the end of this training, participants will be able to:
  • Install and configure Cloud Pak for Data.
  • Unify the collection, organization and analysis of data.
  • Integrate Cloud Pak for Data with a variety of services to solve common business problems.
  • Implement workflows for collaborating with team members on the development of an AI solution.
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Python for Excel

 14 Hours
In this instructor-led, live training in wielkopolskie (onsite or remote), participants will learn how to combine the capabilities of Python and Excel. By the end of this training, participants will be able to:
  • Install and configure packages for integrating Python and Excel.
  • Read, write, and manipulate Excel files using Python.
  • Call Python functions from Excel.
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Data Analysis with SQL, Python and Spotfire

 14 Hours
In this instructor-led, live training in wielkopolskie, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.  Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
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Data Analysis for Marketers

 14 Hours
A business' marketing strategy is one of its most essential tools to ensure success. The rise in technology and advances in data gathering and analysis has led to a continuous transformation of marketing. Data analysis is now considered to be a crucial skill for marketers to learn. Likewise, applying data science to marketing principles is also important in helping data science professionals maximize their contributions. In this instructor-led, live training, participants will learn how to gain valuable insights from large data sets and how to use these for marketing strategies. By the end of this training, participants will be able to:
  • Install and configure tools for data-driven marketing tools (Tableau, Google Analytics, Zarget, etc)
  • Measure, test, and optimize the performance of their marketing strategies using data
  • Use data to segment their customers and prospects
  • Use predictive modeling to improve response rates
  • Implement step-by-step data analytics to drive better marketing decisions
Audience
  • Marketers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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kdb+ and q: Analyze Time Series Data

 21 Hours
kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc. In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q. By the end of this training, participants will be able to:
  • Understand the difference between a row-oriented database and a column-oriented database
  • Select data, write scripts and create functions to carry out advanced analytics
  • Analyze time series data such as stock and commodity exchange data
  • Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed
  • Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages
  • Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring
Audience
  • Developers
  • Database engineers
  • Data scientists
  • Data analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Azure for Data Engineer

 35 Hours
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data. By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
 
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Apache Arrow for Data Analysis across Disparate Data Sources

 14 Hours
Apache Arrow is an open-source in-memory data processing framework. It is often used together with other data science tools for accessing disparate data stores for analysis. It integrates well with other technologies such as GPU databases, machine learning libraries and tools, execution engines, and data visualization frameworks. In this onsite instructor-led, live training, participants will learn how to integrate Apache Arrow with various Data Science frameworks to access data from disparate data sources. By the end of this training, participants will be able to:
  • Install and configure Apache Arrow in a distributed clustered environment
  • Use Apache Arrow to access data from disparate data sources
  • Use Apache Arrow to bypass the need for constructing and maintaining complex ETL pipelines
  • Analyze data across disparate data sources without having to consolidate it into a centralized repository
Audience
  • Data scientists
  • Data engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Search and Analytics with Amazon OpenSearch

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
  • Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
  • Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
  • Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
  • Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.
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Python for Data Analysis

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc.. By the end of this training, participants will be able to:
  • Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
  • Analyze data from sources such as Excel, CSV, JSON files and databases.
  • Clean data to improve its usefulness before analyzing it.
  • Perform simple statistical analysis.
  • Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
  • Gain valuable insight from data, including trends in performance, problematic areas.
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F# for Data Science

 21 Hours
Data science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration. In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems. By the end of this training, participants will be able to:
  • Use F#'s integrated data science packages
  • Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python
  • Use the Deedle package to solve time series problems
  • Carry out advanced analysis with minimal lines of production-quality code
  • Understand how functional programming is a natural fit for scientific and big data computations
  • Access and visualize data with F#
  • Apply F# for machine learning
Explore solutions for problems in domains such as business intelligence and social gaming Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Embedding Projector: Visualizing Your Training Data

 14 Hours
Embedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow. This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project. By the end of this training, participants will be able to:
  • Explore how data is being interpreted by machine learning models
  • Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it
  • Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.
  • Explore the properties of a specific embedding to understand the behavior of a model
  • Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Scaling Data Analysis with Python and Dask

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets. By the end of this training, participants will be able to:
  • Set up the environment to start building big data processing with Dask and Python.
  • Explore the features, libraries, tools, and APIs available in Dask.
  • Understand how Dask accelerates parallel computing in Python.
  • Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
  • Optimize the Dask environment to maintain high performance in handling large datasets.
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SQL Advanced level for Analysts

21 Hours
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
Read more...

BPMN 2.0 for Business Analysts

 14 Hours
This course has been created for business analysts who want to use BPMN 2.0 extensively in their projects.It focuses on practical aspects of all BPMN 2.0 specification as well as implementations of common patterns.It is a series of short lectures followed by exercises: the delegates will have a problem described in English, and will have to create a proper diagram for each problem. After that, the diagrams will be discussed and assessed by the group and the trainer.This course doesn't cover execution part of BPMN, it focuses on analysis and process design aspects of BPMN 2.0.
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QGIS for Geographic Information System

 21 Hours
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD. This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.
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Advanced Data Analysis with TIBCO Spotfire

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data. By the end of this training, participants will be able to:
  • Share visualizations among different team members.
  • Secure access to software based on roles and access controls.
  • Create visualizations such as map charts.
  • Integrate statistical computing languages such as R with Spotfire.
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Introduction to Spotfire

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data. By the end of this training, participants will be able to:
  • Install and configure TIBCO Spotfire.
  • Combine data from different databases.
  • Visualize large datasets.
  • Create and share complex dashboards.
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AI-Driven Data Analysis with TIBCO Spotfire X

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data. By the end of this training, participants will be able to:
  • Install and configure TIBCO Spotfire X.
  • Understand the features and architecture of TIBCO Spotfire X.
  • Understand the concepts behind augmented and predictive analytics.
  • Learn how to load, process, and visualize data using Spotfire X.
  • Create interactive and enhanced data visualizations.
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Sensu: Beginner to Advanced

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at devops engineers who wish to create monitoring systems for multi-cloud infrastructures. By the end of this training, participants will be able to:
  • Monitor an enterprise from any cloud.
  • Use auto-scaling and real-time visibility to create advanced monitoring systems.
  • Authenticate a monitoring system with the Sensu API.
  • Share programmed monitoring workflows amongst team members.
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Monitoring Your Resources with Munin

 7 Hours
Munin is an open-source monitoring tool that helps system administrators monitor resources such as servers, workstations, networks, SANs, applications, network devices, etc. It shows resource trends and provides insights into questions such as "what just happened to kill our performance?" It includes visualization tools and is available on various flavors of Linux and FreeBSD.
Format of the Course
  • Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
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Fluentd for Log Data Unification

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to set up an architecture where everything is logged. By the end of this training, participants will be able to:
  • Install and configure Fluentd.
  • Collect logs from large numbers of disparate servers.
  • Unify the logging layer within an organization.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This training covers logging approaches for various types of systems. Please contact us to arrange coverage for specific systems (syslog, Apache, Nginx, IoT, ElasticSearch, MongoDB, Hadoop, etc.).
  • To learn more about Fluentd, please visit: https://www.fluentd.org/
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Nagios

 35 Hours
The 5-day course demonstrates through hands-on practice the fundamentals of Nagios.
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Nagios Core

 21 Hours
This course covers the installation, planning and configuration of Nagios Core The level of this course is Intermediate
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Nagios XI Administration

 21 Hours
Nagios XI is enterprise server and network monitoring software. In this instructor-led, live training, participants will learn how to set up and operate Nagios XI as they step through process of managing Linux and Windows servers in a series of hands-on live-lab exercises. By the end of this training, participants will be able to:
  • Install and configure Nagios XI
  • Monitor Windows and Linux machines
  • Monitor network devices
  • Perform administrating tasks, including backing up, restoring, and scheduling downtime of Nagios XI
Audience
  • System administrators
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Intermediate Pix4D

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at field ecologists and conservation managers who wish to post-process Pix4D drone data. By the end of this training, participants will be able to:
  • Implement Google Earth to enhance UAV mapping .
  • Use outputs of images to generate reports.
  • Post-process with GIS and CAD software for advanced drone data modeling.
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Introduction to Pix4D

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at field ecologists and conservation managers who wish to land survey and drone map with Pix4D. By the end of this training, participants will be able to:
  • Use end to end drone mapping processes and techniques.
  • Achieve high surveying accuracy.
  • Understand the fundamentals of global coordinate systems and GPS.
  • Generate and analyze survey output with Pix4D's image processing software.
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Google Maps API for Developers

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at developers who wish to enhance their website or web application by adding geo-location functionality through Google Maps. By the end of this training, participants will be able to:
  • Embed a map into a new or existing website or web application.
  • Display live data that synchs with current location.
  • Create a mashup that includes Google Maps.
  • Apply good CSS and JavaScript coding practices
  • Create a custom map for an application.
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Introduction to Google Analytics

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to use Google Analytics to track and report website data. By the end of this training, participants will be able to:
  • Set up Google Analytics to collect website data.
  • Create and analyze reports.
  • Gain insights and make data-driven decisions.
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Hotjar for Growth Hacking

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at web developers who wish to reveal user interaction and behavior with Hotjar. By the end of this training, participants will be able to:
  • Research and profile user interactions in a web application.
  • Gain a better understanding of websites users and visitors to increase website conversions.
  • Leverage and apply Hotjar recordings in an appropriate manner to remove faults in web design and/or functionality.
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Tajniki Piwik PRO: Odkryj kluczowe wskaźniki i narzędzia

 14 Hours
The training covers a wide range of topics related to web data analysis to quickly and efficiently introduce you and your team to the world of Piwik PRO Analytics Suite!
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TIBCO for Developers

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing.
  • Build distributed, stateful, rule-based event-processing systems.
  • Manage business events data and execute proper business rules.
  • Reduce the event response time in large-scale, data driven applications.
  • Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.
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TIBCO Statistica

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at engineers, researchers, and data analysts who wish to use TIBCO Statistica features to create analytic workflows and models. By the end of this training, participants will be able to:
  • Install and navigate the TIBCO Statistica program to build and manage data analysis projects.
  • Understand statistics basics to analyze data and generate useful insights for the business.
  • Explore advanced topics to work with big data and machine learning using TIBCO Statistica.
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Monitoring with Grafana

 14 Hours
This instructor-led, live training in wielkopolskie (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start creating visualizations in Grafana.
  • Set up Grafana for high availability.
  • Customize panels and dashboards with data.
  • Configure a reverse proxy for fast loading speeds.
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Grafana and Graphite

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite. By the end of this training, participants will be able to:
  • Aggregate and visualize metrics about systems and applications.
  • Create a StatsD client for gathering application metrics.
  • Build informative and dynamic dashboards with Grafana.
  • Gather insights from back-end performance.
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ELK: Elasticsearch, Logstash and Kibana for Administrators

 14 Hours
This instructor-led, live training in wielkopolskie is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run. The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.
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Kibana: Essentials

 14 Hours
This training introduces Kibana to the users of Elasticsearch. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
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Data Analysis with Redash

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists and developers who wish to use Redash to run SQL-based queries and visualize data from multiple sources. By the end of this training, participants will be able to:
  • Set up and install Redash to start creating data visualizations and dashboards.
  • Connect Redash to different data sources such as Postgres, MongoDB, Databricks, etc.
  • Learn how to query and combine complex data from multiple database sources.
  • Write and execute SQL queries and build collaborative data visualizations and dashboards.
  • Use Redash's API endpoints to enable integrations with other web applications.
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Business Intelligence and Data Analysis with Metabase

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting. By the end of this training, participants will be able to:
  • Set up and install Metabase to start building data visualizations and dashboards.
  • Learn how to query, aggregate, and visualize data in Metabase.
  • Use the features and tools in Metabase to write SQL queries.
  • Build analytics charts and dashboards to get business insights.
  • Know the best practices and tips on using Metabase and resolving common issues.
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QlikView for Business Users

 7 Hours
In this instructor-led, live training in wielkopolskie (online or onsite), participants will learn how to use QlikView to support decision making in their organization. By the end of this training, participants will be able to:
  • Install and configure QlikView.
  • Analyze and display data using QliKView.
  • Use data discoveries from QlikView to support decision making.
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QlikView for Developers

 14 Hours
In this instructor-led, live training in wielkopolskie (online or onsite), participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView.
  • Transform data from various sources through QlikView scripting.
  • Build data models with QlikView.
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Google Sheets for Excel Users

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to use Google Sheets for data analysis. By the end of this training, participants will be able to:
  • Build spreadsheets with Google Sheets.
  • Use formulas that work both in Google Sheets and Excel.
  • Format and analyze any data.
  • Create data visualizations with charts and graphs.
Read more...

IBM Cognos Analytics

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting. By the end of this training, participants will be able to:
  • Analyze and share insights about data.
  • Visualize business performance.
  • Use AI-assisted preparation to cleanse and combine data sources.
  • Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.
Read more...

Alteryx for Data Analysis

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to use Alteryx for data processing and data visualization. By the end of this training, participants will be able to:
  • Leverage Alteryx to improve business intelligence and business analytics.
  • Perform ETL operations with zero code.
  • Visualize data with a data analytical suite, such as Excel.
Read more...

Alteryx for Developers

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists who wish to use Alteryx for data analysis. By the end of this training, participants will be able to:
  • Prepare data in Alteryx to later visualize in Power BI or Excel.
  • Create and Perform ETL operations with little to no code.
  • Embed custom R code inside Alteryx.
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Data Preparation with Alteryx

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists who wish to use Alteryx to prepare data for visualization and analysis. By the end of this training, participants will be able to:
  • Preapre data with Alteryx to visualize later.
  • Perform ETL operations with zero code.
  • Leverage Alteryx to improve business intelligence and business analytics.
Read more...

Algorithmic Trading with Python and R

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R. By the end of this training, participants will be able to:
  • Employ algorithms to buy and sell securities at specialized increments rapidly.
  • Reduce costs associated with trade using algorithmic trading.
  • Automatically monitor stock prices and place trades.
Read more...

Stata: Beginner to Advanced

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to analyze large data sets with Stata. By the end of this training, participants will be able to:
  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large datasets, ready for data analysis.
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Statistical Analysis with Stata and R

 35 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis. By the end of this training, participants will be able to:
  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to preapare for data analysis.
Read more...

Cluster Analysis with R and SAS

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis. By the end of this training, participants will be able to:
  • Use cluster analysis for data mining
  • Master R syntax for clustering solutions.
  • Implement hierarchical and non-hierarchical clustering.
  • Make data-driven decisions to help to improve business operations.
Read more...

SAS Programming

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to program in SAS for advanced data management, data analysis, and more. By the end of this training, participants will be able to:
  • Master macros to write efficient SAS programs.
  • Train a model and make predictions on unseen data with predictive modeling.
  • Create charts and plots for data visualization.
Read more...

Advanced Splunk

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts, data scientists and data engineers who wish to carry out advanced data search, analytics, and visualization using Splunk. By the end of this training, participants will be able to:
  • Create a Splunk application and a technology add-on.
  • Use different data input methods and sources.
  • Implement advanced search, analysis and visualization of large datasets.
  • Customize and share dashboards and reports.
Read more...

Splunk Fundamentals

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Splunk. By the end of this training, participants will be able to:
  • Install and configure Splunk.
  • Collect and index all kinds of machine data.
  • Implement real-time search, analysis and visualization of large datasets.
  • Create and share complex dashboards and reports.
Read more...

Splunk Data Administration

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at engineers who wish to get data into Splunk Indexers and manipulate data in Splunk. By the end of this training, participants will be able to:
  • Use different data input methods and sources.
  • Install, configure, manage and moniter Forwarders.
  • Manipulate raw data in Splunk.
  • Create a Splunk Diag.
Read more...

Apache Druid for Real-Time Data Analysis

 21 Hours
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo. In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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JasperReports

 14 Hours
In this instructor-led, live training in wielkopolskie, participants will learn to use JasperReports to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets. By the end of this training, participants will be able to:
  • Set up and configure a JasperSoft ETL project
  • Design and run an ETL job
  • Use iReport to generate charts, images, sub-reports, and cross tabs
Read more...

Advanced Apache Superset

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts, data scientists and data engineers who wish to carry out advanced data analytics and visualization using Apache Superset. By the end of this training, participants will be able to:
  • Install and configure Apache Superset.
  • Implement advanced data analysis and visualization using Apache Superset.
  • Customize and share dashboards and reports.
  • Managing security in Apache Superset.
Read more...

Getting Started with Apache Superset

 14 Hours
This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to explore, organize, and visualize data using Apache Superset. By the end of this training, participants will be able to:
  • Install and configure Apache Superset.
  • Combine data from different databases.
  • Visualize large datasets.
  • Create and share complex dashboards.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This training is based on the latest version of Apache Superset.
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Apache Superset, please visit: https://superset.incubator.apache.org
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MicroStrategy Business Intelligence (BI)

 14 Hours
In this instructor-led, live training in wielkopolskie (online or onsite), participants will learn how to use MicroStrategy to access various data sources, then generate reports and dashboards for analysis. By the end of this training, participants will be able to:
  • Install and configure MicroStrategy.
  • Use MicroStrategy to perform predictive analytics on large data sets.
  • Access and analyze data from data warehouses, Excel files, and Apache Hadoop.
  • Create elaborate reports and dashboards.
Read more...

MicroStrategy for Developers

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at developers who wish to use MicroStrategy to build, customize, and embed MicroStrategy analytics into web and mobile applications through REST APIs and SDKs. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing custom apps with MicroStrategy.
  • Understand the MicroStrategy features, architecture, and core programming concepts.
  • Learn how to use the MicroStrategy Web APIs and SDKs to customize analytical applications.
  • Integrate MicroStrategy functionalities into web and mobile applications.
  • Execute RESTful API commands to embed MicroStrategy with external applications.
  • Get some tips on how to troubleshoot and fix coding issues.
Read more...

Advanced Power BI

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business analysts, data analysts, and developers who wish to use the advanced features and tools in Power BI to perform complex data analysis and create interactive visual reports. By the end of this training, participants will be able to:
  • Install and configure Power BI and the necessary components.
  • Understand and explore the advanced features, components, and tools in Power BI.
  • Get valuable insights on advanced data analysis and strategy.
  • Apply advanced data modeling techniques.
  • Learn how to implement advanced formulas and calculations using DAX.
  • Know the tips and tricks on data handling, visualization, and presentation.
  • Make reports and dashboards interactive to enable collaboration within Power BI.
  • Learn and explore embedded analytics in Power BI.
Read more...

Data Analytics Process, Cloud Solutions, and Power BI Solutions

 35 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data. By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
Read more...

PL-300: Microsoft Power BI Data Analyst

 21 Hours
About This Course This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Audience Profile The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. Skills gained
  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
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Power BI - Advanced

 14 Hours
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

Power BI Dashboards

 14 Hours
Learn how to Get & Transform Data to Prepare Interactive Dashboards Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports. Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc  
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Power BI desktop DAX + M

 21 Hours
About the training
Microsoft Power BI desktop training focusing on the data layer aspect, extended to include topics on working with Power Query M and the DAX language and SQL database. Training aimed at people familiar with the basics of building Power BI reports, involved in processing and analyzing large amounts of data, for whom the standard import of data into the model is not enough. Extension with elements of M and DAX languages working with the database allows for more efficient and faster work with data. Training objective
To get acquainted with tools that extend the possibilities in working with Microsoft Power BI desktop working with SQL database server, data services or file data. To learn the basics of working with M and DAX language and using them in creating reports and analysis. What will Power BI improve in your work?
You will learn how to retrieve data efficiently. You will optimize ways to retrieve and transform data located on SQL Server, file sources and services. You will expand your skills in using the best analytical tool. You will increase your confidence in your job by acquiring new skills. You will dramatically increase your chances for promotion. You will radically raise your level of professional competence. Where will you use the acquired knowledge?
You will increase the efficiency of your work related to the creation of reports and in BI tools related to SQL database. You will also notice an increase in comfort in accessing data. You will achieve a new higher quality of data presentation and updating. What you will learn.
You will learn how to effectively use the enhanced capabilities of Power BI. You will be able to create a unified reporting system based on SQL Server data. Standardization of methods for generating reports and creating statements for analysis will no longer be a problem for you. At the same time, you will move the security of the created analyses to a new higher level.
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Power BI desktop from A to Z

 35 Hours
ABOUT THE TRAINING
Microsoft Power BI desktop training from A to Z provides a comprehensive overview of the application's capabilities. It covers a cross-section of all important stages of working with data in Power BI: Extraction, Normalization, Integration, Modeling, Presentation, Publication PURPOSE OF THE TRAINING
Working with Microsoft Power BI in the desktop version and elements of the online version, working with SQL database, data services or file data. Introduction to working with Query M language and DAX model, additionally extended to work with visualizations for R and Python languages. WHAT WILL YPU IMPROVE IN YOUR WORK?
You will optimize ways to retrieve, transform and integrate data located on SQL Server, file sources and services. You will expand your skills in using the best analytical tool. You will increase your confidence in your job by acquiring new qualifications. You will definitely raise your level of professional competence and chances for promotion. WHERE WILL YOU USE THE ACQUIRED KNOWLEDGE?
You will increase the efficiency of your work related to the creation of reports and in BI tools. You will also notice an increase in comfort in accessing data. You will achieve a new higher quality of data presentation and updating. WHAT WILL YOU LEARN?
You will learn how to effectively use the enhanced capabilities of Power BI. You will learn all the essential steps of working with visualized data.
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Power BI online

 14 Hours
About the training
Microsoft Power BI desktop training focusing on online report publishing, aimed at people who are familiar with the basics of building Power BI reports and whose priority is to share their reports with colleagues. Expansion to include elements of online data model management allows you to effectively manage report sharing. Training objective
To familiarize with the tools that extend the capabilities in working with Microsoft Power BI desktop with the aspect of publishing reports in the online service and using them in the creation of reports and analysis. What will Power BI improve in your work?
You will learn how to publish reports effectively. You will optimize ways to retrieve and transform data located in a cloud service. You will expand your skills in using the best analytical tool with online data model management. You will increase your confidence at work by acquiring new skills. Where will you use the acquired knowledge?
You will increase the efficiency of your work related to the creation of reports and in BI tools o cloud solutions. You will also notice an increase in comfort in accessing data. You will achieve a new higher quality of data presentation and updating. What you will learn?
You will learn how to effectively use the Power BI service. You will be able to create a unified online reporting system. You will master the standardization of methods for generating reports and creating summaries for analysis. At the same time, you will take report security to a new higher level.
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Creating Dashboards Using Microsoft Power BI

 14 Hours
About the Course: Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop. Audience: This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads. At Course Completion Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
  • Power BI
  • Power BI Desktop
  • Working with CSV, TXT, and Excel Worksheets
  • Connecting to Databases
  • Merging, Grouping, Summarizing, and Calculating Data
  • Reporting
  • Power BI Online
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Power Apps

 21 Hours
About the training
Power Apps training allows you to learn how to create applications without writing code. Extensive templates, data connectors and artificial intelligence elements allow beginners to create useful applications Purpose of the training
Introduce the participant to the world of creating applications to streamline everyday activities. Learning how to work with an application involves creating efficient applications without writing code, so-called no-code or with its minimal use of low-code. Most of the elements of the created application are built by dragging and dropping with the mouse. What will Sharepoint improve in your work?
You will learn to create effective and impressive applications to support your daily activities. You will gain the ability to use the latest tool to streamline your work. You will increase your confidence at work by acquiring new skills. You will dramatically increase your chances for promotion. You will radically raise the level of your professional competence. Where will you use the acquired knowledge?
You will be able to use the applications you create in most components of Office 365 and hundreds of other applications available through built-in connectors. You will notice at the same time an increase in convenience in accessing data. You will achieve a new higher quality of efficiency and reliability in the data you process and update. What will you learn?
You will become an application developer, i.e. a developer who will be able to build tools to support the work in your organization without much trouble. At the same time, you will take your organization's security to a new higher level.
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Microsoft Power Automate

 14 Hours
About the training
Power Automate (formerly Flow) training allows you to learn about the Power Automate application, part of the Power Platform. The tool allows you to effectively automate and streamline repetitive tasks. It will significantly increase your productivity, while allowing you to save time spent on handling processes in your company. Purpose of the training
To introduce the participant to comprehensive automation of daily activities. Learning how to work with an application involves creating efficient flows without writing code, so-called no-code or with minimal use of low-code. Most workflows are configured by drag and drop with the mouse. What will Sharepoint improve in your work?
You will learn to perform repetitive tasks efficiently by automating them. You will gain the ability to use the latest work automation tool. You will increase your confidence in your work by acquiring new skills. You will dramatically increase your chances of promotion. You will radically raise the level of your professional competence. Where will you use the acquired knowledge?
You will be able to use the flows you create in most of the Office 365 applications and hundreds of other applications available through built-in connectors. You will notice at the same time an increase in your comfort in accessing data. You will achieve a new higher quality of efficiency and reliability in the data you process and update. What will you learn?
You will improve information exchange with colleagues. You will be able to create a unified system that automates flows of documents, files and information as such. Standardization of methods for generating flows and creating workflows will no longer be a problem for you. At the same time, you will take the security of your organization to a new higher level.
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Power BI

 14 Hours
Power BI is a business analytics service created by Microsoft.
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Power BI Dashboard Design

 7 Hours
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices. This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard. By the end of this training, participants will be able to:
  • Design beautiful and efficient dashboards following the critical rules.
  • Choose the right charts based on the kind of data for display.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

Power BI for Business Analysts

 21 Hours
In this instructor-led, live training in wielkopolskie (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets. By the end of this training, participants will be able to:
  • Create visually compelling dashboards that provide valuable insights into data.
  • Obtain and integrate data from multiple data sources.
  • Build and share visualizations with team members.
  • Adjust data with Power BI Desktop.
Read more...

Power BI for Developers

 28 Hours
In this instructor-led, live training in wielkopolskie, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms. By the end of this training, participants will be able to:
  • Configure real-time dashboards.
  • Create custom visualizations.
  • Integrate rich analytics into existing applications.
  • Embed interactive reports and visuals into existing applications.
  • Access data from within an application.
  • Master Power BI Portal, Desktop, Embedded and Rest API.
  • Integrate R Scripts into Power BI Desktop.
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Power BI - wizualizacja danych

 14 Hours
The "Power BI - Data Visualization" training focuses on creating reports using Power BI tools, including importing and combining data from files and databases SQL. Participants gain skills in working with Power BI Desktop, creating data models, various visualizations, and sharing reports in the cloud. The course covers topics such as data modeling, table linking, data optimization, as well as advanced visual elements and sharing reports in various formats such as CSV, PDF and in the cloud.
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Pentaho Business Intelligence (PBI) - moduły raportowe

 28 Hours
The "Pentaho Business Intelligence (PBI) - reporting modules" training allows you to gain knowledge in the field of Business Intelligence, focusing on the reporting modules of the Pentaho platform. Participants will learn to use Report Designer to create reports from basic to advanced levels, including advanced data formatting, using parameters, PDI transformations and JavaScript queries. Additionally, the training covers the use of Business Intelligence Server, scheduling, sharing reports and the basics of creating transformations in Pentaho Data Integration.
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Pentaho Data Integration (PDI) - moduł do przetwarzania danych ETL (poziom średniozaawansowany)

 14 Hours
The "Pentaho Data Integration (PDI) - ETL data processing module (intermediate level)" training provides knowledge about the Pentaho platform, which covers the area of Business Intelligence, reporting, data analysis and data integration. Participants will acquire installation, configuration and work skills with Pentaho Data Integration, learning how to create transformations, work with databases, filter and group data, handle XLS files, define parameters and variables. The training also covers advanced topics such as data versioning, database transactions, the use of JavaScript, task scheduling and running transformations in parallel.
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Pentaho Data Integration (PDI) - moduł do przetwarzania danych ETL (poziom zaawansowany)

 21 Hours
The "Pentaho Data Integration (PDI) - ETL data processing module" training offers advanced knowledge of the Pentaho platform, covering the area of Business Intelligence, reporting, data analysis and data integration. It is aimed at programmers, architects and application administrators, enabling learning how to design, implement, monitor and optimize ETL processes using Pentaho Data Integration (PDI). Participants will gain skills in working with various types of data, filtering, grouping and combining data, as well as scheduling tasks, running transformations and creating clusters. The training also covers advanced topics such as data versioning, database transactions, the use of JavaScript, mapping transformations, data type conversion and remote startup.
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Pentaho Open Source BI Suite Community Edition (CE)

 28 Hours
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities. In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE). By the end of this training, participants will be able to:
  • Install and configure Pentaho Open Source BI Suite Community Edition (CE)
  • Understand the fundamentals of Pentaho CE tools and their features
  • Build reports using Pentaho CE
  • Integrate third party data into Pentaho CE
  • Work with big data and analytics in Pentaho CE
Audience
  • Programmers
  • BI Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Pentaho Data Integration Fundamentals

 21 Hours
Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations. In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle and maximize the value of data within their organization. By the end of this training, participants will be able to:
  • Create, preview, and run basic data transformations containing steps and hops
  • Configure and secure the Pentaho Enterprise Repository
  • Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
  • Provide results to third-part applications for further processing
Audience
  • Data Analyst
  • ETL developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Read more...

Data Visualization Principles for Tableau

 14 Hours
This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles is visualizations created using Tableau software.
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Tableau Fundamentals

 14 Hours
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau. During the course you will be able to:
  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
  • Represent your data using the following visualization types:
    • Cross tabs
    • Geographic maps
    • Heat maps
    • Tree maps
    • Pie charts and bar charts
    • Dual axis and combined charts with different mark types
    • Highlight Tables
    • Scatter Plots
  • Build dashboards to share visualizations.
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Data analysis with Tableau

 14 Hours
Tableau helps people see and understand data.
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Data Science with Tableau and R Programming

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists who wish to program in R for Tableau. By the end of this training, participants will be able to:
  • Implement Tableau analytics with R.
  • Return values to Tableau with learning algorithms in R.
  • Structure and visualize R functions in Tableau.
  • Make data driven decisions for business operations.
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Tableau for Developers

 21 Hours
In this instructor-led, live training in wielkopolskie, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization. By the end of this training, participants will be able to:
  • Install and configure Tableau (Desktop, Server, Online.)
  • Understand the fundamentals of developing with Tableau.
  • Create and publish data visualizations and interactions with Tableau.
  • Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
Read more...

Tableau Fundamentals to Advanced

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau. By the end of this training, participants will be able to:
  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
  • Represent your data using different visualization types.
  • Build dashboards to share visualizations.
Read more...

Tableau Prep Builder

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder. By the end of this training, participants will be able to:
  • Install Tableau Prep.
  • Understand and implement a Data Science Workflow.
  • Read data from a variety of sources, such as Excel and databases.
  • Prepare, shape and sample data for analysis in Tableau Desktop.
  • Explore and validate data.
  • Create and publish Tableau Prep flows.
Read more...

Data Analysis with Tableau and Python

 14 Hours
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API. By the end of this training, participants will be able to:
  • Integrate Tableau and Python using TabPy API
  • Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Tableau Server for System Administrators

 28 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at system administrators who wish to set up and manage Tableau Server. By the end of this training, participants will be able to:
  • Install and configure Tableau Server.
  • Set up users, roles and permissions to get a team up and running.
  • Access various data sources, manage content and access to the content by users.
  • Automate administrative tasks, including monitoring and log management.
  • Deploying Tableau Server to cluster.
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Visual Reporting and Analysis with Tableau

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.
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Data Visualization for Nonprofit using Tableau Public

 21 Hours
This course is designed for the learner who has never used Tableau before, or who may need a refresher.  It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.
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Tableau Advanced

 14 Hours
Tableau helps people see and understand data.
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Tableau Intermediate Training Course

 14 Hours
Tableau helps people see and understand data.
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From Tableau Beginners to Advanced User

 28 Hours
This is a compelling 4-day course for Tableau beginners. During this course, you will get familiar with all Tableau features and learn how to create and share data visualization with others. The course will guide you through all of the steps, including connecting to data, creating calculations, choosing a chart, building the dashboard, and publishing your work. The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will end with 30 minutes test and 60 minutes project assignment. Course milestones:
  • Get familiar with Tableau interface.
  • Connect to and work with your data.
  • Use the Tableau features.
  • Build an insightful visualization.
  • Share your work with a broader audience.
Format of the Course:
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
  • Knowledge test and hands-on project at the end of the course
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Fintech: A Practical Introduction for Managers

 14 Hours
In this instructor-led, live training in wielkopolskie, participants will gain an understanding of the technologies, methods and mindset needed to implement a Fintech strategy. This training is aimed at managers who need to gain a "big picture" understanding of Fintech, break down the hype and jargon, and take tangible first steps towards the adoption of new technologies applicable to financial business and services. By the end of this training, participants will be able to
  • Present viable Fintech strategies for their organization.
  • Understand and explain the role and functionality of key technologies.
  • Draft an action plan for introducing new technologies in step-by-step fashion.
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Testable requirements - how to write good acceptance criteria?

 14 Hours
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Model Based Development for Embedded Systems

 21 Hours
Model Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming. In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products. By the end of this training, participants will be able to
  • Select and utilize the right tools for implementing MBD.
  • Use MBD to carry out rapid development in the early stages of their embedded software project.
  • Shorten the release of their embedded software into the market.
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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IREB CPRE Foundation - przygotowanie do egzaminu

 21 Hours
IREB CPRE (International Requirements Engineering Board - Certified Professional for Requirements Engineering) is a certification for requirements engineering professionals. This certification aims to confirm knowledge, skills and experience in the area of management and requirements engineering in the software development process. The Value of IREB CPRE Certification: Confirmation and recognition of knowledge, skills and experience in the area of requirements engineering. Stand out in the job market as a professional specializing in requirements management. Increasing credibility and trust among employers, clients and colleagues.
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Requirements description standards

 14 Hours
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Requirements management

 21 Hours
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Requirements Analysis

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis efficiently and accurately using analysis techniques for their projects. By the end of this training, participants will be able to:
  • identify different types of requirements.
  • understand the overall concepts of, and activities within, requirements analysis.
  • be familiar with the requirements analysis methodology.
  • use different requirements analysis techniques to their advantage.
  • structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.
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Software Engineering, Requirements Engineering and Testing

 63 Hours
This course demonstrates through hands-on practice the fundamentals and applications of software engineering, requirements engineering and testing.
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Use cases in requirements management

 14 Hours
Purpose of the training
To learn the benefits of using use cases to describe system functionality.
To learn effective methods of obtaining functional requirements.
To acquire the ability to define functional requirements in UML notation (use case diagrams) and in the form of use case specifications. Advantages 
Training conducted by an expert with several years of experience in the IT industry and extensive knowledge of IT processes.
Emphasis on practice - the necessary theory is supported by project practice, the topics discussed relate to real project situations.
Training conducted using tools used in requirements engineering, which gives the opportunity to learn the basic functionality of such tools. 
Possibility to apply the acquired knowledge already during the training. 
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Microsoft Power Platform Fundamentals

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at business staff, managers, developers, and data analysts who wish to adapt, implement, integrate, and manage Microsoft Power Platform components and features in their organization. By the end of this training, participants will be able to:
  • Build simple applications with Power Apps to create custom solutions for everyday business needs.
  • Automate workflow processes using Power Automate (formerly known as Microsoft Flow) to minimize manual and repetitive tasks.
  • Create data reports and dashboards with Power BI to generate insightful analytics for the business.
  • Build chatbots using Power Virtual Agents to automate and resolve common customer inquiries and issues.
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Data Cleaning

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively. By the end of this training, participants will be able to:
  • Develop an effective data cleaning strategy.
  • Implement useful tools for data cleaning.
  • Get a result more efficiently.
  • Learn and apply data cleaning best practices.
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Microsoft Purview: Data Governance and Compliance

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level data professionals who wish to use Microsoft Purview to enhance their data governance and compliance capabilities.By the end of this training, participants will be able to:
  • Install and configure Microsoft Purview.
  • Implement data governance and compliance policies.
  • Utilize data discovery and classification features.
  • Monitor and manage data compliance.
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Netdata

 7 Hours
Netdata is an open-source infrastructure performance monitoring and troubleshooting solution that simplifies real-time data collection of system, hardware, and application metrics. Netdata helps users visualize and store data, set performance issue alerts, and collect thousands of metrics with zero configuration. This instructor-led, live training (online or onsite) is aimed at SysAdmins, DevOps engineers, and IT professionals who wish to install, configure, and manage Netdata features to collect and monitor infrastructure metrics. By the end of this training, participants will be able to:
  • Collect system and application metrics.
  • Visualize data in real-time.
  • Monitor performance health.
  • Troubleshoot performance issues as they arise.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Open Telemetry

 14 Hours
OpenTelemetry is a set of APIs, SDKs, and tools for instrumenting, generating, collecting, and exporting telemetry data (metrics, logs, and traces) to analyze the performance and health of applications. It is an open-source project designed to provide a unified and vendor-neutral way to observe system
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Microsoft Power Platform Fundamentals (authorized training course PL-900)

 7 Hours
Learn the business value and product capabilities of Power Platform. Create simple Power Apps, connect data with Common Data Service, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents After completing this course, students will be able to:
  • Describe the Power Platform components
  • Describe Common Data Service, Connectors and AI builder
  • Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services
  • Identify benefits and capabilities of Power Platform
  • Identify the basic functionality and business value Power Platform components
  • Implement simple solutions with Power Apps, Power Automate, Power BI, and Power Virtual Agents
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Zenoss Monitoring for Administrators

 21 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at admins who wish to use Zenoss to monitor physical and virtual networks in the cloud and on-premise. By the end of this training, participants will be able to:
  • Install and configure Zenoss.
  • Understand Zenoss's real-time model for monitoring a network.
  • Perform basic administrative tasks in Zenoss.
  • Monitor devices, events, and service.
  • Ensure top application performance.
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KNIME Analytics Platform for BI

 21 Hours
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst. This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
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Data Science with KNIME Analytics Platform

 21 Hours
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst. This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows This instructor-led, live training (online or onsite) is aimed at data professionals who wish to use KNIME to solve complex business needs. It is targeted for the audience that doesn't know programming and intends to use cutting edge tools to implement analytics scenarios By the end of this training, participants will be able to:
  • Install and configure KNIME.
  • Build Data Science scenarios
  • Train, test and validate models
  • Implement end to end value chain of data science models
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course or to know more on this program, please contact us to arrange.
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Platforma analityczna KNIME - szkolenie kompleksowe

 35 Hours
The "Analytics Platform KNIME" training offers a comprehensive overview of this free data analytics platform. The program includes an introduction to data processing and analysis, installation and configuration KNIME, building workflow, methodology for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions and integrations with tools such as R, Java, Python, Gephi, Neo4j. The conclusion includes an overview of reporting, integration with BIRT and KNIME WebPortal.
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KNIME with Python and R for Machine Learning

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME. By the end of this training, participants will be able to:
  • Plan, build, and deploy machine learning models in KNIME.
  • Make data driven decisions for operations.
  • Implement end to end data science projects.
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Data Science Implementation Management using KNIME Server

 14 Hours
KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows as analytical applications and services. By the end of this training, participants will be able to:
  • Schedule analytics workflows to run automatically and give yourself more time to focus on data science.
  • Control workflows to automate model management
  • Scale and pin workflow execution with well provisioned, high performance server architecture which is configured to your specifications.
  • Design, edit, and execute workflows on KNIME Server using the remote workflow editor and take advantage of well provisioned hardware in a secure environment.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course or to know more on this program, please contact us to arrange.
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Magellan: Geospatial Analytics on Spark

 14 Hours
Magellan is an open-source distributed execution engine for geospatial analytics on big data. Implemented on top of Apache Spark, it extends Spark SQL and provides a relational abstraction for geospatial analytics. This instructor-led, live training introduces the concepts and approaches for implementing geospacial analytics and walks participants through the creation of a predictive analysis application using Magellan on Spark. By the end of this training, participants will be able to:
  • Efficiently query, parse and join geospatial datasets at scale
  • Implement geospatial data in business intelligence and predictive analytics applications
  • Use spatial context to extend the capabilities of mobile devices, sensors, logs, and wearables
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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D3.js for Data Visualization

 7 Hours
In this instructor-led, live training in wielkopolskie, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively. By the end of this training, participants will be able to:
  • Use D3 to create interactive graphics, information dashboards, infographics and maps.
  • Control HTML with jQuery-like selections.
  • Transform the DOM by selecting elements and joining to data.
  • Export SVG for use in print publications.
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Data Visualization

 28 Hours
This course is intended for engineers and decision makers working in data mining and knoweldge discovery. You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.
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Data Visualization: Creating Captivating Reports

 21 Hours
In this instructor-led, live training in wielkopolskie, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions. By the end of this training, participants will be able to:
  • Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.
  • Design charts that fit the audience's information needs and interests.
  • Choose the best chart types for a given dataset (beyond pie charts and bar charts.)
  • Identify and analyze the most valuable and relevant data quickly and efficiently.
  • Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)
  • Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data.
  • Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams.
  • Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)
  • Prepare datasets for visualization.
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ECharts

 14 Hours
eCharts is a free JavaScript library used for interactive charting and data visualization. In this instructor-led, live training, participants will learn the fundamental functionalities of ECharts as they step through the process of creating and configuring charts using ECharts. By the end of this training, participants will be able to:
  • Understand the fundamentals of ECharts
  • Explore and utilize the various features and configuration options in ECharts
  • Build their own simple, interactive, and responsive charts with ECharts
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Foundation R

 7 Hours
The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
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Octave not only for programmers

 21 Hours
Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.
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Data Visualization with Python

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start creating data visualizations with Python.
  • Understand the data visualization core concepts, use cases, and tools.
  • Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
  • Learn how to create line plots, statistical graphs, geo-spatial, and other complex data visualizations with Python.
  • Know the best practices and techniques for presenting and interpreting data.
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Qlik Sense for Data Science

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense. By the end of this training, participants will be able to:
  • Apply Qlik Sense in data science.
  • Use and navigate the Qlik Sense interface.
  • Build a data literate workforce with AI interaction.
  • Create a data-driven enterprise with Qlik Sense.
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Qlik: Advanced Topics in Design and Development

 14 Hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making. In this instructor-led, live training, participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView
  • Transform data from various sources through QlikView scripting
  • Build data models with QlikView
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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QlikView Server Administration

 14 Hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making. In this instructor-led, live training, participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView
  • Transform data from various sources through QlikView scripting
  • Build data models with QlikView
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Introduction to Data Visualization with Tidyverse and R

 7 Hours
The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble. In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse. By the end of this training, participants will be able to:
  • Perform data analysis and create appealing visualizations
  • Draw useful conclusions from various datasets of sample data
  • Filter, sort and summarize data to answer exploratory questions
  • Turn processed data into informative line plots, bar plots, histograms
  • Import and filter data from diverse data sources, including Excel, CSV, and SPSS files
Audience
  • Beginners to the R language
  • Beginners to data analysis and data visualization
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Zeppelin for Interactive Data Analytics

 14 Hours
This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment. By the end of this training, participants will be able to:
  • Install and configure Zeppelin
  • Develop, organize, execute and share data in a browser-based interface
  • Visualize results without referring to the command line or cluster details
  • Execute and collaborate on long workflows
  • Work with any of a number of plug-in language/data-processing-backends, such as Scala (with Apache Spark), Python (with Apache Spark), Spark SQL, JDBC, Markdown and Shell.
  • Integrate Zeppelin with Spark, Flink and Map Reduce
  • Secure multi-user instances of Zeppelin with Apache Shiro
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Business Intelligence in MS SQL Server 2008

 14 Hours
Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008. Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008. Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS. The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line. The participant will acquire knowledge of scripting XML / A and MDX.
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Microsoft Office Excel - moduł Business Intelligence

 14 Hours
Excel is a versatile tool that has been widely used in various areas, from data analysis to project management. Its flexibility and ease of use make it a popular tool for working with data and analysis in many fields. Excel allows you to create spreadsheets in which you can enter data, calculate formulas, analyze data and present results in the form of tables, charts or reports. It has a rich set of built-in mathematical, statistical and financial functions that facilitate calculations and data analysis. It allows you to generate various types of charts (e.g. bar, line, pie) based on data from the spreadsheet, which helps you visualize and present data. Excel offers tools for sorting, filtering, grouping data, as well as creating pivot tables and preliminary data analysis. It is used in business for budgeting, planning, tracking expenses, analyzing sales, creating financial reports, etc. It can be used to create schedules, project plans, manage tasks, and track progress.
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Big Data Business Intelligence for Govt. Agencies

 35 Hours
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information. High-value government solutions will be created from a mashup of the most disruptive technologies:
  • Mobile devices and applications
  • Cloud services
  • Social business technologies and networking
  • Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured. But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog. The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it. The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge. Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.). Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
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Big Data Business Intelligence for Telecom and Communication Service Providers

 35 Hours
Overview Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month. Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored. With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.) This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain. Course objectives Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
  • Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
  • How Big Data analytic differs from legacy data analytic
  • In-house justification of Big Data -Telco perspective
  • Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
  • How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
  • Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
  • Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
  • Network failure and service failure analytics from Network meta-data and IPDR
  • Financial analysis-fraud, wastage and ROI estimation from sales and operational data
  • Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
  • Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
  • Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
  • Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
  • Business Analysts in Telco
  • CFO office managers/analysts
  • Operational managers
  • QA managers
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Big Data Business Intelligence for Criminal Intelligence Analysis

 35 Hours
Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results. By the end of this training, participants will be able to:
  • Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
  • Implement industrial big data storage and processing solutions for data analysis
  • Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
Audience
  • Law Enforcement specialists with a technical background
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Snowflake Advanced

 14 Hours

Snowflake is a cloud-based data storage platform that offers extensive capabilities for processing and analyzing large datasets. It is a Software-as-a-Service (SaaS) solution that combines the flexibility and scalability of the cloud with the capabilities of an advanced data warehouse. Key features and functions of Snowflake include:Cloud-Based Architecture: Snowflake is built in the cloud and optimized for flexibility and performance, allowing for easy scalability of data storage and processing resources.Separation of Storage and Compute Workloads: Snowflake's unique architecture separates the data storage workload from the compute workload, allowing for independent scaling and optimization of these two aspects.Support for Diverse Data: Snowflake enables the storage and analysis of various data types, including structured, semi-structured (e.g., JSON, XML), and unstructured data.High Performance and Query Optimization: The system offers fast query processing and automatic optimization, enabling efficient execution of complex analyses on large datasets.Security and Access Management: Snowflake provides advanced security features, including data encryption, role-based access management, and auditing.Easy Integration: The platform easily integrates with popular ETL, BI, and data analysis tools and services, allowing for the creation of comprehensive analytical solutions.Cost Flexibility and Scalability: A usage-based payment model allows for cost optimization and paying only for the resources actually used.Versatility of Applications: Snowflake is suitable for various use cases, from simple BI analyses to advanced data processing, including big data analyses, machine learning, and more.Snowflake is a popular choice among organizations of all sizes due to its flexibility, performance, ease of use, and the ability to adapt to various business and technological needs.
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Business Intelligence with SSAS

 14 Hours
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools. In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses. By the end of this training, participants will be able to:
  • Install and configure SSAS
  • Understand the relationship between SSAS, SSIS, and SSRS
  • Apply multidimensional data modeling to extract business insights from data
  • Design OLAP (Online Analytical Processing) cubes 
  • Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
  • Deploy real-world BI solutions using SSAS
Audience
  • BI (Business Intelligence) professionals
  • Data Analysts
  • Database and data warehousing professionals
 
Format of the Course
  • Interactive lecture and discussion
  • Lots of exercises and practice
  • Hands-on implementation in a live-lab environment
Course Customization Options
  • This training is based on the latest version of Microsoft SQL Server and SSAS.
  • To request a customized training for this course, please contact us to arrange.
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Business and System Analysis using UML Notation - Practical Workshop for PO in the Scrum Methodology

 21 Hours
Business analysis is the process of examining, understanding, and defining business needs in order to develop solutions that meet those needs. Jest a key element in the process of managing changes in the organization and designing new business solutions. Business analysis aims to ensure that technological, process or organizational solutions meet business goals and needs. Jest a key element in ensuring the effectiveness of projects and changes in the organization, by ensuring that the solutions introduced are accurate, feasible and fully meet business requirements.
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Agile Business Analysis

 14 Hours
This course focuses on the business analyst role to be successful on Agile projects. Course participants will learn how to cooperate with the Team, Product Owner, Scrum Master as well as with the Customer to facilitate the development process. Participants will go through a mock project practising common scenarios.
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Analytical information management

 14 Hours
Goals
Learn the benefits of effective analytical information management in a project. 
Acquire skills in building an information management framework - from stakeholder definition to developing the content of necessary work products and defining the relationships between them, as well as between analytical artifacts and other project work products. Advantages
Training provided by an expert with several years of experience in the IT industry and extensive knowledge of IT processes.
Emphasis on practice - the necessary theory is supported by project practice, the topics discussed are related to real project situations.
Training delivered using tools used in requirements engineering, which provides an opportunity to learn the basic functionalities of such tools. 
Possibility to apply the acquired knowledge already during the training. 
As a result of the training, the participant develops a framework for managing analytical information (definition of work products, relationships, content), which they can use as a template or guideline for their professional tasks.
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Business Analysis, BABOK V3.0 and IIBA Certification Preparation

 21 Hours
Summary: A business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes. This course is intended for Business Analysts including those who may want to go on and prepare for an IIBA Certification (CCBA or CBAP) and is consistent with the framework outlined by the BABOK® Version 3.0 Objectives:
  • Identify the critical principles, activities, tasks, and techniques outlined in the BABOK® V3.0
  • Understand the core knowledge areas, activities, tasks, deliverables, and their relationships:
Key Definitions: BABOK® (Business Analysis Body of Knowledge) Standard for practice of business analysis and serving as a framework describing the tasks that must be performed. CCBA® (Certified of Competency in Business Analysis) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience. CBAP®(Certified Business Analysis Professional) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.
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Introduction to Business Analysis: Defining Successful Projects

 21 Hours
This course will show you how to:
  • Perform key functions of the business analyst by applying a solid business analysis framework
  • Conduct a business needs analysis to elicit stakeholder requirements
  • Apply business analysis techniques to identify key problems and potential opportunities in your enterprise
  • Create effective requirements and communication plans
  • Analyse and specify requirements using industry best practices
  • Manage solution assessment and validation
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Business Analysis Essentials

 21 Hours
Audience: Business consultants, Business analysts, Project Managers, IT professionals.
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Business analysis - theory and practice

 35 Hours
Goals
Learn about key business analysis activities and their work products, popular analytical tools and techniques used in the industry.
Acquire the skills to plan and organize analytical processes in projects. 
Acquire the skills necessary to execute the full business analysis process - from defining the business problem and business needs, through requirements elicitation, solution concept development, to solution specification and validation. Advantages
Training provided by an expert with several years of experience in the IT industry and extensive knowledge of IT processes.
Theory supported by project practice - reference of discussed topics to real project situations.
Possibility to apply the acquired knowledge already during the training. 
As a result of the training, the participant receives a self-developed model of analytical processes, which he can use as a template or guidelines for the implementation of his professional tasks.
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Business and IT System Agility in the Digital Age

 7 Hours
Participant Profiles  CxO, Operation Managers, Enterprise Architects, Business and System Analysts and Designers Objective This introduction seminar provides you with an overview of the digital business models, business and enterprise architecture frameworks as well as methodologies that organizations are trying to focus on to increase their business agility facing disruptions of the digital age. In particular, this seminar aims at helping you to understand frameworks and reference architectures that are used worldwide to align digital business models and IT system architectures with the changing competitive landscape.
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Business Modeling for an Agile Enterprise

 14 Hours
Objective: Helping Business Analysts to understand how to efficiently model and validate their business processes and resources in order to increase business agility of their organization on the basis of their target architecture and changing market needs. This 2 day training course aims at helping delegates to learn how to model their business processes and resources in order to adapt them to changes of their goals, strategies and impacted capabilities as part of the target architecture. On the basis of the key elements of business performance (strategies, tactics, KPI, business capabilities, etc...), delegates learn there how to elaborate a vision centric business process and resource cartography. Then, only using the appropriate BPMN and UML notation adapted to their language, they understand how to adapt them to changing strategies, tactics and policies.
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BPMN 2.0 Fundamentals and Workshop

 14 Hours
Audience: Delegates who have an interest in Process Modelling will benefit from attending this business process modeling notation training course including:
  • Business and Process Analysts
  • Process Designers and Implementers
  • Project and Programme Managers
  • Anyone involved with business change and transformation.
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Business Process Optimization in Banking

 21 Hours
This course focuses on holistic, structured approaced to finding bottle necks and optimizing business processes. It is a practical workshop where participants will be given examples and later will need to solve similar cases during team exercises.
  • Using the company experience in process management in other banks / sectors to illustrate the presentation  
  • Introducing the participants to the different process methodologies (Lean, SIX Sigma) but not full of theory about those methodologies (aim of this training is not to pass the Lean or Six Sigma certifications but to get an awareness of different methodologies to see how we can use part of it in our daily activity)
  • The presentation should be oriented mostly on business issues (and not pure IT processes)
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Business Process Re-engineering for Competitive Advantage

 21 Hours
The course will cover how to:
  • Select, organise and implement a business re-engineering project
  • Achieve competitive advantage by capitalising on technology and the use of UML tools
  • Maximise customer satisfaction by matching process design to customer needs
  • Identify typical symptoms of business process dysfunction
  • Redesign workflow and structure successfully within the business
  • Ensure the best practice through the application of business patterns
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Business Analysis

 21 Hours
A business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new/novel business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes. This course is intended for those who are moving into the Business Analysis profession and who may, after any pre-requisites are met, be interested in taking the CBAP certification examination by IIBA (www.iiba.org). Who should attend?
  • Entry-level IT Business Analysts
  • Self-taught IT Business Analysts wanting to fill in the gaps and put all the pieces together
  • Systems Analysts and programmers interested in expanding their role into the business area
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Contemporary Development Principles and Practices

 14 Hours
The course covers contemporary development principles and practices, including the place of project management, testing and business analysis, within Agile and traditional Waterfall contexts. The course is intended to be workshop-style with opportunities for delegates to ask questions and explore real life application of the content. This course comprises a series of modules with each module designed to take 1.5hrs, ie 1 training day would consist of 4 modules. Intended Audience This course is aimed at those who want to gain a rapid overview of contemporary Waterfall & Agile software development and the impact on project management, testing and business analysis.
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Data Mining and Analysis

28 Hours
Objective: Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.
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Design Patterns

 14 Hours
There are plenty of tried and tested patterns widely available to everyone. Sometimes it is a matter of changing the names and implementing the pattern in a specific technology. It can save hundreds of hours, which otherwise would be spent on design and testing. Training Goals This course has two goals: first, it allows you to reuse widely-known patterns, second, it allows you to create and reuse patterns specific to your organization. It helps you to estimate how patterns can reduce costs, systematize the design process and generate a code framework based on your patterns. Audience Software designers, business analysts, project managers, programmers and developers as well as operational managers and software division managers. Course Style The course focuses on use cases and their relationship with a specific pattern. Most of the examples are explained in UML and in simple Java examples (the language can change if the course is booked as a closed course). It guides you through the sources of the patterns as well as showing you how to catalogue and describe patterns which can be reused across your organization.
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Efficient Requirement Management using Agile Methods and Agile UML Modeling

 21 Hours
Objective: This training course aims at helping product managers, products owners, business analysts, system architects and developers understand how to efficiently Manage Requirements on the basis of the product vision till guiding developers accurately in implementing them. More in detail, this course aims at assisting product managers in better defining the value propositions of their products on the basis of strategies and stakeholder needs. Business Analysts and product owners understand how to describe requirements of the product backlog then discover appropriate epics and user stories of the system while contributing to the required value creation. Along interactive case study exercises, participants learn how to describe in detail such requirements in order to validate correct understanding of needs and prepare system acceptance tests. Thus, only using a very common and productive UML profile, they learn to structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process. Audience:
  • Product Managers
  • Product Owners
  • Business Analysts
  • Anyone interetsted in the Requirements Management Process
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Process Mining – wprowadzenie

 21 Hours
Course format The course begins with an introduction to the world of Process Mining. We discuss basic tools for discovering and modeling processes based on raw event log data. The course focuses on introducing concepts from the field of Process Mining and possible applications. Case studies from everyday life are analyzed in the form of exercises using open source platforms, including: Ferry.
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IQBBA Foundation Level - preparation for the certification exam

 21 Hours
Goals
To familiarize participants with business analysis processes and techniques according to IQBBA.
To familiarize participants with the nomenclature used in the area of business analysis.
To prepare for the IQBBA Foundation Level certification exam. Advantages
Training provided by an expert with several years of experience in the IT industry and broad knowledge of IT processes, additionally holding a binding position in the structures of the IQBBA organization for many years and one of the main authors of the IQBBA certification program.
Theory supported by project practice - relating the topics discussed to real project situations.
Analysis of sample exam questions with indication of important aspects for passing the exam.
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Process Mining w R

 21 Hours
Course format The course begins with an overview of Process Mining applications and analyses. We discuss the bupaR library and various algorithms for data-driven process discovery and analysis. We look inside the data structures that are the basis for modeling the discovered processes. The course focuses on the technical aspects of Process Mining. Case studies from everyday life are analyzed during exercises in R.
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Process Mining w Python

 21 Hours
Course format
The course begins with an overview of Process Mining applications and analyses. We discuss the pm4py library and various algorithms for data-driven process discovery and analysis. We look inside the data structures that are the basis for modeling the discovered processes. The course focuses on the technical aspects of Process Mining. Case studies from everyday life are analyzed during exercises in Python.
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Object Oriented Design using Design Patterns

 14 Hours
Objective: Helping Technical Analysts and Designers to understand how to go through software implementation of the requirements, ensuring traceability between business specifications and the software code. This 2 day training course aims at assisting technical analysts and designers in designing specifications described by the business analysts. After transformation into software component representations, the resulting system components trace system requirements toward software component structures. Finally, these technical specifications are implemented in software code and tested upon component basis. The resulting software components provide good level of reactivity to changes as they allow to trace separately toward the implementation level the system behaviours layer by layer (from the user interfaces toward business objects layer through the application components where the usage choices of the actors are stored.
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Zaawansowane techniki Process Mining dla Manadżerów i Analityków procesów

 21 Hours

Course format
The course begins with an overview of Process Mining applications and analyses. We discuss advanced tools for discovering and modeling processes based on raw event log data. The course focuses on the life cycle of a Process Mining project and good practices used in implementing this type of projects. Case studies from everyday life are used for exercises, and data sets are analyzed using open source platforms, including: Ferry.
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User-centered design

 14 Hours
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Exploratory Data Analysis

 7 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at persons who wish to use graphical and numerical techniques to better understand the structure of a dataset before commencing more formal analysis. By the end of this training, participants will be able to:
  • Identify variables that that indicate connections within the data.
  • Identify unusual patterns in data.
  • Generate visually appealing and easy to read graphics that provide insight into the data.
  • Use exploratory analysis to pave the way for more complex statistical modeling.
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LibreOffice Calc for Data Analysis

 14 Hours
This instructor-led, live training in wielkopolskie (online or onsite) is aimed at data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software. By the end of this training, participants will be able to:
  • Install the LibreOffice suite on any operating system.
  • Understand the full features and functionalities available in LibreOffice Calc.
  • Learn how to clean, validate, manipulate, and visualize data in Calc.
  • Apply the various functions and tools in Calc to perform complex data analysis.
  • Gain some tips and insights on conducting advanced data analysis.
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Process Mining

 21 Hours
Process mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency.  Format of the Course
  • The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.
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Understanding Business Process Modeling with BPMN 2.0

 14 Hours
This training course aims at helping business analysts to learn to model efficiently their business processes using BPMN as well as resources that are handled by their activities. Being conducted by an agile enterprise framework, business analysts learn during this course how to use appropriate BPMN notations and business extensions of UML in order to deal with their "business requirements" and coherently drive underlying design level activities.
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Business Process Analysis with UML and BPMN

 14 Hours
Course Audience: Managers who want to understand BPMN diagrams, Business Consultants, Business Analysts, Business Process Engineers, System Analysts and anyone who is involved in analyzing and planning Business Processes using standardized, unified modelling notation. Course Goals:
  • Produce high-quality process diagrams
  • Model in the BPMN process notation
  • Capture as-is process information
  • Implement optimized process flows for people-intensive processes
  • Simplify complex process definitions and break them into more manageable pieces
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BPMN for Analysts

 14 Hours
The course aims at teaching the practical knowledge and learning BPMN modeling skills at the Intermediate and Advanced levels. The ideal participant is a business analyst training, meaning the person discovering, identifying, gathering and analyzing user requirements to the system. - The advanced computer application developers and system architects interested in the prospect of creating business processes, system and custom drivers. The course does not address issues Executable BPMN level. Training is conducted in much the dominant technique in the form of a computer (~ 90%), during which the one hand, we translate real business situations for BPD, on the other hand ready to interpret diagrams assessing their practical utility. The course is very intensive practical course in the strict sense, the training did not deal with in any way, theoretical considerations of BPMN.
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Podstawy IREB CPRE

 7 Hours
IREB plays an important role in standardizing requirements engineering practices, helping professionals in the field improve their skills and raising quality standards in software development processes. IREB certificates are valued in the industry as confirmation of high professional competences in management and requirements engineering.
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Podstawy inżynierii wymagań i analizy

 14 Hours
Requirements engineering is the process of defining, collecting, documenting, managing and analyzing the needs, expectations and functionalities that should be implemented by a given system, product or IT project. Requirements engineering plays a key role in the success of IT projects because accurate, understandable and consistent requirements constitute the foundation for the system or product being created. Correctly understanding and precisely defining the needs of users and stakeholders is crucial to achieving customer satisfaction and the success of IT projects.
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Testimonials (25)

Used good examples, good pace of the training and covered most things

David - McGraw Hill
Course - Data Preparation with Alteryx

the personalized part during which I was able to work on my project and directly apply the elements of the training

Caroline - Schreder
Course - Power BI Dashboards

Machine Translated

What was very interesting in this training was the direct handling of the power bi tool. What was presented was very informative and provided a real answer to my problems, while trying to learn on the job. The trainer gave us keys to be better organized and structured in our files. Which is interesting if we have to give up our work. It would have taken a few more hours to produce our own report, that's the only downside.

Linedie - Transdev Nord
Course - Advanced Power BI

Machine Translated

A large dose of really practical knowledge

Emilia - Bank Polska Kasa Opieki Spółka Akcyjna

Machine Translated

I liked that the trainer gave me 5 minutes to complete the exercise. Each of us could take up the challenge of solving the task without being influenced by what is happening on the screen. Trainer Rafał with a lot of knowledge. He easily established relationships with listeners.

Patryk S - Santander Bank Polska S.A.
Course - Splunk Fundamentals

Machine Translated

The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.

Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System

The instructor's extensive knowledge and problem-solving skills. Nicely prepared cases to practice

Michał - Streamsoft
Course - JasperReports

Machine Translated

Clear explanations with good examples so i could relate to my own line of work.

Elaine Vermeulen - Sandoz BV
Course - Alteryx for Developers

lots of pratical exercises

Marcin - Narodowy Bank Polski
Course - Splunk Data Administration

The perfect adaptation to my needs

Thomas - AXA Wealth Services

Machine Translated

Without a doubt, learn the general environment of and put the tool into practice Apache Superset.

Saúl - N/A

Machine Translated

Data management, reporting and statistics concepts.

Dumisani - Interfront SOC Ltd
Course - Stata: Beginner to Advanced

Use cases were awesome! and Ray involved each and every one of us in each use case.

Zara - Trench Ltd
Course - Alteryx for Data Analysis

The training is conducted in an attention-grabbing manner

Karol - Centralny Ośrodek Informatyki

Machine Translated

I'm looking forward to having a training again with Any, he was really good, I'm just a GIS guy, but Any made everything clear to me, he explained complex processes in layman's terms. Keep it up, thank you.

Lwazi Qhingana - South African National Roads Agency (SANRAL) SOC Ltd
Course - Python for Geographic Information System (GIS)

Trainer cukup terbuka dalam sharing

Wilianto Wilianto - PT. Supra Matra Abadi
Course - Getting Started with Apache Superset

Professional and very practical, usuefull in a daily work

Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire

Podejście prowadzącego do tematu, szybkie dostosowanie tempa i tematyki do wymagań uczestników :) Duża wiedza techniczna/praktyczna prowadzącego :)

Marcin Mikielewicz - ENIGMA Systemy Ochrony Informacji Sp. z o. o.
Course - ELK: Elasticsearch, Logstash and Kibana for Administrators

It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.

Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire

Great pace during the training. very knowledgeable and teaching style

James - Gilead Sciences Ireland
Course - Excel to Power BI

dyskusja na temat legalnosci umieszczania danych w chmurze i dobre praktyki przy modelowaniu i raportowaniu.

Course - Microsoft Power BI Data Analyst (szkolenie autoryzowane PL-300)

I liked the fact that it was very dynamic, adjusted to our needs.

Bogdan Dinica - Sennheiser Consumer Electronics GmbH, Brasov Division
Course - MicroStrategy Business Intelligence (BI)

The Instructor knew the information he was lecturing the class on.

Amin Muhammed - Ultimate Knowledge
Course - Advanced Splunk

Dokładnie krok po kroku analizowane zagadnienia i w każdym możliwym momencie powrót do nich.

Kamila Kos - Cargotec Poland Sp. z o.o.
Course - Google Sheets for Excel Users

I genuinely enjoyed the lots of labs and practices.

Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire

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