R Fundamentals for Data Science

Rated 5.00 out of 5 based on 3 customer ratings
(3 customer reviews)

300.00

Develop powerful statistical analyses in R without getting lost in complex code. This course is designed for resourceful beginners who want to take control of their analysis and workflow. You’ll learn 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.

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 minimum number of participants is eight. If there are not enough registrations, the workshop may be cancelled. Registered participants will have the option to join another workshop or receive a full refund.

SKU: RFND Category: Tags: , ,

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.

Date

June 1-5 2026, August 3-7, 2026, October 5-9 2026, December 7-11

3 reviews for R Fundamentals for Data Science

  1. Rated 5 out of 5

    Eric

    Manuel is undoubtedly an expert in data science.

  2. Rated 5 out of 5

    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.

  3. Rated 5 out of 5

    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.

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