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R Basics – Statistical Data Analysis Supported by AI

Veranstaltungsdaten

Event language: English

R is one of the most widely used programming languages in statistics and data science, with millions of users in academia and industry. Thanks to recent developments in generative AI (GenAI), getting started with R has become significantly easier — even for those without prior programming experience.

This two-day course offers a practical and structured introduction to R. Through hands-on coding exercises and close mentoring by an experienced instructor, you will gain a solid foundation in R and develop the skills to analyze your own data efficiently and reproducibly.

 Qualification Outcomes 

• You will understand the basic syntax of R and work efficiently with RStudio, the most widely used development environment for R.
• You will be able to read, clean, and manipulate different datasets using R’s core data structures and the powerful dplyr package.
• You will create informative data visualizations using both base R and the ggplot2 package.
• You will grasp the key principles of statistical testing and modeling, enabling you to apply and interpret methods relevant to your research — such as regression models or ANOVA.
• You will discover how modern AI-assisted coding tools can support you in writing, understanding, and debugging R code.
• You will learn best practices for organizing your code, documenting your work, and creating simple, reproducible analysis workflows.

Methods

Trainer input, extensive hands-on coding exercises, personalized guidance and support throughout the course

Requirements 

Please bring your own laptop with R and RStudio installed prior to the course. Installation instructions will be provided in advance.
Access to an AI assistant (such as ChatGPT or a comparable tool) is recommended and will be integrated into selected course elements.

Proficiency in English at the B2 level of competency or higher is required.

Dates

February 19, 2026, 9 am–5 pm, and
February 20, 2026, 9 am–5 pm

Target group

Doctoral candidates from all disciplines

Modalities

Maximum number of 10 participants
Internal 50 EUR

Registration

Please register until February 4, 2026 using the online registration form.
This event is offered as part of the "Open Science" program.