R Language Training in Prague

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

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.

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.

Shiny is an R package that empowers users to construct interactive and dynamic web applications directly within the R environment, eliminating the need for JavaScript expertise or complex web frameworks.

This instructor-led live training, available either online or on-site, targets intermediate R users who aim to develop and deploy custom web applications using Shiny for purposes such as data visualization, user interaction, and reporting.

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

• Develop interactive web applications utilizing Shiny and R.
• Design user interfaces featuring reactive components and dynamic inputs.
• Integrate data visualization and reporting capabilities into Shiny applications.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request tailored training for this course, please reach out to us to arrange your requirements.

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.
• Develop and automate workflows using Stata and R.

R is a widely used, open-source environment designed for statistical computing, data analytics, and data visualization. This course provides an introduction to the R programming language for students. It covers the fundamentals of the language, essential libraries, and advanced concepts, including practical applications of data analytics and graphing using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lecture-based instruction combined with hands-on exercises

In today's business landscape, data analytics serves as an essential asset. This course concentrates on building practical skills for hands-on data analysis. Our goal is to empower participants to provide evidence-based answers to key questions:

What has occurred?

• Processing and analyzing data
• Creating insightful data visualizations

What is projected to happen?

• Forecasting future performance
• Assessing the accuracy of forecasts

What should occur?

• Leveraging data to drive evidence-based business decisions
• Optimizing operational processes

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.

Big Data denotes the category of solutions designed for storing and processing extensive data sets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R is a widely used programming language within the financial sector.

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:

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This instructor-led, live training in Prague (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.

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.

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

This instructor-led, live training in Prague (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.

Description:

This course is designed to equip R users with the skills to build web applications without the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

Explains the fundamental mechanics of Shiny applications.

Covers all essential input, output, rendering, and paneling functions commonly utilized in the Shiny library.

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.