R Fundamentals for Data Science
Learn to code clearly and confidently in R using AI to support your ideas and vision. This hands-on workshop is designed for resourceful beginners who want to take control of their data work. You’ll build the essential skills to read, understand, and adapt R code. You won’t become a coding expert in just 20 hours, but you will gain the ability to confidently use AI-generated scripts and make informed decisions. Discover how AI can support your coding without taking over your thinking, so you can move from blind copy-pasting to mindful, reproducible workflows. This workshop is highly interactive, focusing on practical exercises, coding challenges, and everyday problem-solving.
- Get Comfortable with R: Learn R syntax, data types, and essential functions to analyse data confidently.
- AI Prompting Essentials: Understand how coding works to frame clear requests to get helpful results from your AI.
- Read and Adapt Code: Build the ability to read, understand, and tweak R scripts for your needs.
- Stay Organised: Simple strategies to keep your projects tidy and structured for reproducibility and reusability.
- Practice-Based Learning: Every concept is reinforced through practical examples and real-world exercises.
Next dates in 2026: June 1-5, August 3-7, October 5-9, and December 7-11.
The workshop runs over five days, typically from 9:30 AM to 3:30 PM Central European (Summer) Time.
The workshop is hosted on Zoom.
The Terms & Conditions and our workshop Cancellation Policy apply.


Eric –
Manuel is undoubtedly an expert in data science.
Anonymous –
An incredibly valuable and inspiring experience! Manuel Chevalier brought genuine enthusiasm and encouragement to each session, making complex coding concepts feel approachable and engaging. I left each session feeling more confident and excited to apply what I’d learned to my own research.
Anonymous –
I found Manuel Chevalier to be an excellent teacher, and the course itself was highly valuable. I particularly appreciated the way he adapted the sessions to address the needs of each participant.