Delivered either online or on-site, our instructor-led live R programming courses provide hands-on experience in mastering the language. The curriculum covers everything from core programming principles to advanced techniques, with a strong emphasis on Data Analysis and Data Visualization. Our practical exercises address real-world scenarios within industries such as Finance, Banking, and Insurance. NobleProg offers a comprehensive range of R training programs, from introductory to advanced levels, making us a popular choice for organizations seeking to implement R for Machine Learning and Deep Learning initiatives.
These R training programs are available as "online live training" or "onsite live training". Online sessions (also known as "remote live training") are conducted through an interactive remote desktop environment. Onsite training can take place directly at your client premises in Prague or at NobleProg's corporate training facilities located in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led training in Prague 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.
This instructor-led live training in Prague (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.
This instructor-led, live training in Prague (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.
This instructor-led Shiny training in Prague 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.
This instructor-led, live training in Prague (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.
This hands-on course in Prague 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.
In this hands-on session covering Prague, 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.
This instructor-led, live training in Prague (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.
Discover the core principles of handling Big Data using R, a language highly regarded in the finance industry. This module in Prague 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.
This instructor-led, live training in Prague (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:
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.
This course in Prague 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.
This instructor-led, live training in Prague (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
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