Join Our Online Workshop On
R Fundamentals for Data Science
Learn to code clearly and confidently in R
using AI to support your ideas and vision.
Learn foundational R skills and discover how to use AI as a supportive tool in your data journey. Whether you’re starting from scratch or looking to strengthen your coding, this workshop will equip you with the tools and confidence to work effectively in R. At DSA, we believe AI can only be leveraged by those who understand its outputs—and we will take you there. By the end of the course, you’ll be able to load and prepare datasets, build precise analyses, and make data-driven decisions using R. Expect a highly interactive experience with practical exercises, coding challenges, and real-world problem-solving.
Next dates: January 26-29, 2026
What you’ll learn
- Introduction to R Programming: Get comfortable with R syntax, data types, and the essential functions you need to know to analyse data.
- Learn to Read Code: Gain the ability to read and understand R code, enabling you to troubleshoot and adapt existing scripts to your needs.
- Master the fundamentals to code with AI: Understand coding logic to refine your requests to AI and obtain code that works.
- Organise your Workspace: Learn simple tricks to keep your work organised inside and outside of R, improving your efficiency and workflow.
- Hands-on Practice: Every concept is associated with practical examples and challenges to ensure you gain real-world skills and experience.
✨ Your Questions Answered, Even After the Workshop ✨
At DataSharp Academy, we believe learning is best consolidated through practice. To support your growth and cement what you’ve just learned, we offer four weeks of unlimited post-workshop Q&A access, giving you the opportunity to ask any data-related questions as you apply your new skills to your own projects. We want you to keep practising while building your confidence and independence up.
Programme of the workshop
This structure is only indicative of the workshop content. A detailed agenda will be shared with registered participants before the workshop starts.
| Chapter 1: Meet your tools | Chapter 2: Your first commands |
| Chapter 3: Data types & Structures | Chapter 4: Introduction to the Tidyverse |
| Chapter 5: In & Out of R | Chapter 6: Data wrangling |
| Chapter 7: Plot your beautiful data (ggplot2) | Chapter 8: Merging datasets |
| Each chapter illustrated with live coding examples and hands-on exercises | An unsupervised final project |
Next dates: January 26-29, 2026
Testimonials
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“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”
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“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.”
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“The entire experience overall was quite enjoyable, so it is hard to pinpoint just one thing. However, I did find that doing exercises after each section was quite fun and I looked forward to that.”
⭐️⭐️⭐️⭐️⭐️
“ I found it particularly valuable when we could relate the content to our own research and upload our own datasets. Working with familiar data made it easier to grasp both the methods and their relevance, which deepened my understanding of the coding techniques.”
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“I really appreciated the enthusiasm and encouragement — it created a motivating and supportive learning environment.”
⭐️⭐️⭐️⭐️⭐️
“The balance between theory and practical exercises over the four days was good. Being in a small group also made it easier to ask questions and better understand our mistakes.”
Next dates
The next R Fundamentals for Data Science workshop will run in January 26-29, 2026.
Pricing
€300 (excl. VAT) for four days of training
AND four weeks of unlimited Q&A
This class is limited to 15 participants.
Not sure if this is the right choice for you?
Tell me more about your needs and I’ll tell you if this is a good fit.
Let’s talk!
