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R Markdown for Dynamic Documents and Reproducible Reporting

 14 Hours
This instructor-led training in Czech Republic explores the fundamentals of R Markdown for creating dynamic and reproducible reports. It empowers R users to build documents with code chunks, render outputs to HTML, PDF, and Word, and utilize parameterized reports, themes, and LaTeX styling to achieve professional, automated documentation.
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Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led live training in Czech Republic (online or onsite) is designed for data analysts and anyone interested in learning 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:

  • Conduct data analysis using Python, R, and SQL.
  • Derive insights through data visualization with Tableau.
  • Make data-driven decisions to enhance business operations.
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Data Analysis with Python, R, Power Query, and Power BI

 21 Hours

This instructor-led, live training in Czech Republic (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

By the end of this training, participants will be able to:

  • Understand the basics of Python, R, Power Query, and Power BI for data analysis.
  • Clean and organize datasets using Python and Power Query.
  • Perform statistical analysis and projections with R.
  • Create professional dashboards and reports with Power BI.
  • Integrate and analyze data from multiple sources effectively.
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Shiny App Web Development with R

 14 Hours
This instructor-led Shiny training in Czech Republic enables intermediate R users to construct interactive web applications without relying on JavaScript. Participants will learn to design reactive user interfaces, integrate sophisticated data visualizations, and deploy robust applications. Develop practical skills for efficiently building dynamic dashboards and reports.
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Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in Czech Republic (online or onsite) is designed for computer science professionals at intermediate to advanced levels who wish to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

  • Effectively use Stata for data analysis and statistical modeling.
  • Compare Stata’s functionalities with SPSS and R.
  • Integrate Stata with R for seamless statistical computing.
  • Develop and automate workflows using Stata and R.
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Data Analytics With R

 21 Hours
This hands-on course in Czech Republic focuses on mastering R fundamentals, data preparation, and visualization utilizing packages such as ggplot2. Over the course of three days, participants will delve into statistical modeling, regression, and machine learning techniques, including clustering and classification, applied to real-world data.
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Data and Analytics - from the ground up

42 Hours
In this hands-on session covering Czech Republic, participants will establish core data analytics competencies using Excel, VBA, and R. The curriculum emphasizes data manipulation, visualization, and machine learning methodologies to enable accurate trend forecasting, process optimization, and the creation of evidence-driven business strategies.
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Advanced R

 14 Hours

This instructor-led, live training in Czech Republic (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

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Programming with Big Data in R

 21 Hours
Discover the core principles of handling Big Data using R, a language highly regarded in the finance industry. This module in Czech Republic guides you through environment configuration, leveraging MPI for parallel computing, and working with distributed matrices. You will gain the skills to manage large-scale datasets, execute distributed regression analyses, and implement Monte Carlo methods with greater efficiency.
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Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led, live training in Czech Republic (online or onsite) targets beginner-level data analysts who wish to utilize R programming for data manipulation, basic data analysis, and creating compelling visualizations to extract insights.

By the end of this training, participants will be able to:

  • Understand the basics of R Programming.
  • Apply fundamental data science processes.
  • Create visual representations of data.
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KNIME with Python and R for Machine Learning

 14 Hours

This instructor-led, live training in Czech Republic (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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Statistical Analysis with Stata and R

 35 Hours

This instructor-led, live training in (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 statistical models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to prepare for data analysis.
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Data Science with Tableau and R Programming

 14 Hours

Upon completion of this training, participants will be able to:

This instructor-led, live training in Czech Republic (online or onsite) targets data scientists interested in programming with R for Tableau.

  • Implement Tableau analytics using R.
  • Return values to Tableau using machine learning algorithms in R.
  • Structure and visualize R functions in Tableau.
  • Make data-driven decisions for business operations.
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Building Web Applications in R with Shiny

 7 Hours
This course in Czech Republic guides R developers through building web applications with Shiny, eliminating the need for advanced HTML or CSS expertise. It addresses core principles, UI personalization, sophisticated reactive capabilities, and data distribution, offering practical insights for crafting dynamic, interactive data-driven applications.
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Forecasting with R

 14 Hours

This instructor-led, live training in Czech Republic (online or onsite) targets intermediate-level data analysts and business professionals aiming to conduct time series forecasting and automate data analysis workflows using R.

Upon completion of this training, participants will be able to:

  • Grasp the fundamentals of forecasting techniques in R.
  • Apply exponential smoothing and ARIMA models for time series analysis.
  • Leverage the 'forecast' package to develop accurate forecasting models.
  • Automate forecasting workflows for business and research applications.
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Testimonials (6)

I finally understood the idea of the pipes and how to use R in our work context.

Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie

Course - Data Analytics With R

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB

Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA

Course - Forecasting with R

Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.

Pranay - Lotterywest

Course - Building Web Applications in R with Shiny

Very practical

Deenan - Vodacom

Course - Data and Analytics - from the ground up

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course - Programming with Big Data in R

Upcoming Courses

Shiny App Web Development with R

2026-11-23 09:30
14 hours
Online
3000 EUR (Online)

Data Analytics with Tableau, Python, R, and SQL

2026-12-07 09:30
35 hours
Online
8750 EUR (Online)

Statistical Analysis with Stata and R

2026-12-21 09:30
35 hours
Online
7500 EUR (Online)

Building Web Applications in R with Shiny

2027-01-04 09:30
7 hours
Online
1750 EUR (Online)

Statistical Analysis with Stata and Integration with R

2027-01-18 09:30
35 hours
Online
7500 EUR (Online)

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