Kraków

Archeion, Św. Filipa 23/6, Kraków, Poland, 30-636

The training rooms are located at 23/6 Św. Filipa Street in Krakow, just 3 minutes from the main train st...

Subcategories (3)

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Kibana
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Grafana
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TIBCO

Explore Our Courses

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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Grafana and GLPI Administration

21 Hours
This instructor-led, live training in Cracow (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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Advanced Elasticsearch and Kibana Administration

35 Hours
This instructor-led, live training in Cracow (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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Advanced Grafana

14 Hours
This instructor-led, live training in Cracow (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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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 Analysis with SQL, Python and Spotfire

14 Hours
In this instructor-led, live training in Cracow, 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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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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D3.js for Data Visualization

7 Hours
In this instructor-led, live training in Cracow, 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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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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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 Cracow, 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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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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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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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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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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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 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.
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Power BI for Business Analysts

21 Hours
In this instructor-led, live training in Cracow (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.
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Data Visualization with Python

14 Hours
This instructor-led, live training in Cracow (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 Cracow (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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QlikView for Business Users

7 Hours
In this instructor-led, live training in Cracow (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 Cracow (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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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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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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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 Intermediate Training Course

14 Hours
Tableau helps people see and understand data.
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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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Testimonials (41)

Using on screen capture to drop in and out of other ppls sessions to help super quick. nice to have.

Mykhailo Charalambij - Federal Geospatial Platform, Natural Resources Canada
Course - D3.js for Data Visualization

Real-world example

Hans Alain Nyaba - Federal Geospatial Platform, Natural Resources Canada
Course - D3.js for Data Visualization

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)

Dobre praktyki dotyczące budowania modelu danych i dobre praktyki dotyczące elementów wizualnych w raporcie nie zawarte w oficjalnych materiałach. Dużo przykładów z projektów

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

I enjoyed the good real world examples, reviews of existing reports.

Ronald Parrish
Course - Data Visualization

I liked the examples.

Peter Coleman
Course - Data Visualization

I liked the examples.

Peter Coleman
Course - Data Visualization

I am a hands-on learner and this was something that he did a lot of.

Lisa Comfort
Course - Data Visualization

Trainer was enthusiastic.

Diane Lucas
Course - Data Visualization

Wszystko. Prowadzący świetnie przygotowany, widać było, że to jego pasja i chętnie się tą pasją dzielił podczas szkolenia. Wiedza była przekazywana w sposób klarowny, bardzo dobry kontakt z kursantami, otwartość na wszystkie pytania i komentarze ze strony kursantów. Tempo kursu było w sam raz, spokojnie nadążałam i nie było też nużących momentów, a rozkład czasowy był odpowiedni do możliwości skupienia się. Przekazane informacje były bardzo praktyczne, na pewno uda mi się je wykorzystać w pracy. Jedno z najlepszych szkoleń na jakich byłam, mogłabym na nie pójść jeszcze raz. Dziękuję!

Natalia Wojtkowiak - mTab Sp. z o.o.
Course - Data Visualization: Creating Captivating Reports

I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.

Anna - Birmingham City University
Course - Foundation R

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

Un training bine conceput pe intelesul tuturor. La inceputul fiecarei sesiuni s-a facut o scurta recapitulare. Trainerul a predat concis si la obiect.

Cosmin - Ursus Breweries S.A.
Course - Power BI Dashboards

the teachers pacience.

Camelia-Gabriela - Ursus Breweries S.A.
Course - Power BI Dashboards

Trainers are very knowledgeable, and patient in ensuring students could follow the lecture.

Trudy Staples Girardin - Indigenous Services Canada
Course - Power BI Dashboards

I felt like we saw the whole spectrum of what Power BI can do. The trainers were super knowledgeable and so patient with our group.

Angela Murphy - Indigenous Services Canada
Course - Power BI Dashboards

The pace, activities and screen mirroring. Power Bi is new to me and I am looking forward to working with it more.

Michelle - Childhood Development Initiative CLG
Course - Creating Dashboards Using Microsoft Power BI

The Trainer is professional. He can make me feel this program not too hard to use as I thought before training.

Benjaporn - Thai Asahi Kasei Spandex Co.,Ltd
Course - Power BI for Business Analysts

Use my ideas and practice.

Sawassakorn - Thai Asahi Kasei Spandex Co.,Ltd
Course - Power BI for Business Analysts

Teaching is easy to understand.

Kaewkanlaya - Thai Asahi Kasei Spandex Co.,Ltd
Course - Power BI for Business Analysts

Fast and data

Kawin - Thai Asahi Kasei Spandex Co.,Ltd
Course - Power BI for Business Analysts

Otwartość trenera na nowe wyzwania związane z narzędziem PowerBI

Katarzyna Malinowska - DeLaval Operations Sp.z.o.o.; Robotnicza 72
Course - Power BI for Business Analysts

Do aprendizado, conseguir colocar em prática os exercícios propostos.

Samanta - Imdepa Rolamentos
Course - Qlik Sense for Data Science

Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.

Dietmar Glanninger - BMW
Course - Qlik Sense for Data Science

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R

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

Prowadzący jest praktykiem i potrafił odpowiedzieć na nasze pytania, czasem nawet zanim padły :)

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

wiedza, kompetencja trenera - zajęcia praktyczne odpowiedzi natychmiastowe na zadawane pytania

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

tempo szkolenia i możliwość robienia przykładów na własnym środowisku

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

Bardzo dobre przygotowanie środowisko. Możliwość zadawania pytań i wyczerpujące odpowiedzi. Forma workshopu.

Tomasz Wyczyński - EduBroker Sp. z o.o.
Course - ELK: Elasticsearch, Logstash and Kibana for Administrators

Zadania praktyczne.

Maciej Lorenc - Hicron sp. z o.o.
Course - Kibana: Essentials

Spora dawka naprawdę praktycznej wiedzy

Emilia - Bank Polska Kasa Opieki Spółka Akcyjna
Course - Monitoring with Grafana

Actual operation

Along Zheng - 高露洁
Course - Monitoring with Grafana

Learning new thing and trainer is supportive.

Muhammad Ilman - Pernec Integrated Network Systems Sdn Bhd
Course - Monitoring with Grafana

The lab exercises and the new knowledge

NURAIN SHAHIRAH BT MOHD ROSLI - Pernec Integrated Network Systems Sdn Bhd
Course - Monitoring with Grafana

La parte de tocar los diferentes paneles y loki

Jorge Mateo - NTTData EMEAL
Course - Monitoring with Grafana

L'adaptation parfaite à mon besoin

Thomas - AXA Wealth Services
Course - TIBCO for Developers

Professional and very practical, usuefull in a daily work

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

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

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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