R Language Training in Strasbourg

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 also allows for the evaluation of participants.

• 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 Strasbourg (online or onsite) is designed for data analysts and anyone keen to learn 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 for business operations.

This instructor-led, live training in Strasbourg (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 allows users to create interactive and dynamic web applications directly from R, without needing any knowledge of JavaScript or complex web frameworks.

This instructor-led live training (available online or onsite) targets intermediate-level R users who want to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

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

• Build interactive web applications using Shiny and R.
• Design user interfaces featuring reactive elements and dynamic inputs.
• Incorporate data visualization and reporting capabilities into Shiny applications.
• Deploy and share Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to arrange it.

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

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

• Utilize Stata effectively for data analysis and statistical modeling.
• Compare the functionalities of Stata with those of SPSS and R.
• Integrate Stata with R to facilitate seamless statistical computing.
• Develop and automate workflows using both Stata and R.

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces participants to the R programming language, covering language fundamentals, libraries, and advanced concepts, along with practical advanced data analytics and graphing using real-world data.

Audience

Developers / Data Analysts

Duration

3 days

Format

Lectures and Hands-on Practice

In today's business landscape, data analytics serves as a vital asset. This course prioritizes the development of practical, hands-on skills for data analysis. The primary objective is to equip participants with the ability to provide evidence-based responses to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Strasbourg (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 refers to solutions designed for storing and processing large datasets. Originally developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.

This instructor-led, live training in Strasbourg (online or onsite) is designed for beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for 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 Strasbourg (online or onsite) is designed for data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models within 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 statistic models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to preapare for data analysis.

Upon completing this training, participants will be equipped with the following capabilities:

This instructor-led, live training in Strasbourg (online or onsite) is designed for data scientists who want to integrate R programming with Tableau.

• Implement Tableau analytics using R.
• Return values to Tableau using learning algorithms in R.
• Structure and visualize R functions within Tableau.
• Drive business operational decisions through data insights.

Description:

This course is tailored to empower R users to build web applications without the need to master cross-browser HTML, JavaScript, or CSS.

Objective:

Explores the fundamental mechanisms behind how Shiny applications function.

Addresses the full range of essential input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led live training in Strasbourg (online or onsite) is designed for intermediate-level data analysts and business professionals who wish to perform 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 within R.
• Apply ARIMA models and exponential smoothing methods for time series analysis.
• Utilize the 'forecast' package to develop accurate forecasting models.
• Automate forecasting workflows for both business and research purposes.