KNIME Analytics Platform for BI Training Course
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
Course Outline
Getting Started with KNIME
- KNIME Analytics Platform Overview
- Installation
- GUI Based Programming
- Workflows
- Nodes
- Importing Workflows
Data Access
- Reading From A Text File
- Database Access
- External REST Services
- Artificial Data Generation
Visualization
- Data Visualization
- JavaScript Based Visualization
- Data Views
- Highlighting
- Graphics Through R
- ETL And Data Manipulation
Data Filtering
- Data Aggregations
- Concatenation And Join
- Data Transformations
- Workflow Clean Up
- Datetime Manipulation
- In-Database Processing
Data Mining
- Process Overview
- Training And Applying A Decision Tree
- Scoring A Model
- PMML
- K-Means Clustering
- Recommendation Engines
- Other Models Available
Reporting
- Overview
- BIRT Integration
- KNIME WebPortal
Conclusion
Requirements
A basic aptitude for making sense out of data.
Open Training Courses require 5+ participants.
KNIME Analytics Platform for BI Training Course - Booking
KNIME Analytics Platform for BI Training Course - Enquiry
KNIME Analytics Platform for BI - Consultancy Enquiry
Testimonials (1)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
Related Courses
Oracle GoldenGate
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at sysadmins and developers who wish to set up, deploy, and manage Oracle GoldenGate for data transformation.
By the end of this training, participants will be able to:
- Install and configure Oracle GoldenGate.
- Understand Oracle databases replication using the Oracle GoldenGate tool.
- Understand the Oracle GoldenGate architecture.
- Configure and perform a database replication and migration.
- Optimize Oracle GoldenGate performance and troubleshoot issues.
Talend Administration Center (TAC)
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at system administrators, data scientists, and business analysts who wish to set up Talend Administration Center to deploy and manage the organization's roles and tasks.
By the end of this training, participants will be able to:
- Install and configure Talend Administration Center.
- Understand and implement Talend management fundamentals.
- Build, deploy, and run business projects or tasks in Talend.
- Monitor the security of datasets and develop business routines based on the TAC framework.
- Obtain a broader comprehension of big data applications.
Talend Big Data Integration
28 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at technical persons who wish to deploy Talend Open Studio for Big Data to simplifying the process of reading and crunching through Big Data.
By the end of this training, participants will be able to:
- Install and configure Talend Open Studio for Big Data.
- Connect with Big Data systems such as Cloudera, HortonWorks, MapR, Amazon EMR and Apache.
- Understand and set up Open Studio's big data components and connectors.
- Configure parameters to automatically generate MapReduce code.
- Use Open Studio's drag-and-drop interface to run Hadoop jobs.
- Prototype big data pipelines.
- Automate big data integration projects.
Talend Cloud
7 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data administrators and developers who wish to manage, monitor, and operate data integration processes using Talend Cloud services.
By the end of this training, participants will be able to:
- Navigate the Talend Management Console to manage users and roles in the platform.
- Evaluate data to find and understand relevant datasets.
- Create a pipeline to process and monitor data at rest or in action.
- Prepare data for analysis to generate insights relevant to the business.
Talend Data Stewardship
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at beginner to intermediate-level data analysts who wish to deepen their understanding and skills in managing and improving data quality using Talend Data Stewardship.
By the end of this training, participants will be able to:
- Gain a comprehensive understanding of the role of data stewardship in maintaining data quality.
- Use Talend Data Stewardship for managing data quality tasks.
- Create, assign, and manage tasks within Talend Data Stewardship, including workflow customization.
- Use the tool's reporting and monitoring capabilities to track data quality and stewardship efforts.
Talend Open Studio for ESB
21 HoursIn this instructor-led, live training in Poland, participants will learn how to use Talend Open Studio for ESB to create, connect, mediate and manage services and their interactions.
By the end of this training, participants will be able to
- Integrate, enhance and deliver ESB technologies as single packages in a variety of deployment environments.
- Understand and utilize Talend Open Studio's most used components.
- Integrate any application, database, API, or Web services.
- Seamlessly integrate heterogeneous systems and applications.
- Embed existing Java code libraries to extend projects.
- Leverage community components and code to extend projects.
- Rapidly integrate systems, applications and data sources within a drag-and-drop Eclipse environment.
- Reduce development time and maintenance costs by generating optimized, reusable code.
Sensor Fusion Algorithms
14 HoursSensor Fusion is the combination and integration of data from multiple sensors to provide a more accurate, reliable and contextual view of data.
Sensor Fusion implementations require algorithms to filter and integrate different data sources.
Audience
This course is targeted at engineers, programmers and architects who deal with multi-sensor implementations.
Knowledge Discovery in Databases (KDD)
21 HoursKnowledge 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.
Data Science with KNIME Analytics Platform
21 HoursKNIME 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.
Platforma analityczna KNIME - szkolenie kompleksowe
35 HoursKNIME with Python and R for Machine Learning
14 HoursThis instructor-led, live training in Poland (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.
Data Science Implementation Management using KNIME Server
14 HoursKNIME 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.
Pentaho Data Integration (PDI) - moduł do przetwarzania danych ETL (poziom średniozaawansowany)
14 HoursPentaho Open Source BI Suite Community Edition (CE)
28 HoursPentaho 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.