IOC R Training Information
Welcome to the new edition of IOC R Training! This page contains all the essential details for the training. Please bookmark this page for quick access.
Calendar
French Group
Starts from: the week of 3rd November 2025
Time slots: 9:30 am – 12:30 pm
Format: Hybrid – with weeks 1, 5 and 9 held in-persion at InforBio office; all other sessions take place online.
Provisional Schedule:
Week Session Date Time Week 1 (in-person) Kickstart with R: Your Gateway to Data Science 3rd November 9:30 am – 12:30 pm Week 2 Data Foundations: Vectors and Matrices 10th November 9:30 am – 12:30 pm Week 3 More Complex Data Structures: Data Frames and Lists 17th November 9:30 am – 12:30 pm Week 4 Building Logic: Operators, Conditions and Functions 24th November 9:30 am – 12:30 pm Week 5 (in-person) Graphing with { ggplot2
} (Part 1)1st December 9:30 am – 12:30 pm Week 6 R-fresh: Revisiting the Essentials 5th January 9:30 am – 12:30 pm Week 7 Tidy Up: Wrangling Data with { dplyr
} and {tidyr
}12th January 9:30 am – 12:30 pm Week 8 Graphs Level Up: { ggplot2
} (Part 2) & Custom Functions26th January 9:30 am – 12:30 pm Week 9 (in-person) Putting It All Together: Reproducible Analysis with Quarto 9th March 9:30 am – 12:30 pm Week 10 Your project presentation TBD TBD
English Group
Starts from: Monday, 13th January 2025
Time slots: Mondays 9:30 am – 12:00 pm
Location: Online (Zoom link will be shared prior to the session by email)
Provisional Schedule:
Week Session Date Time Week 1 Kickstart with R: Your Gateway to Data Science 13th January 9:30 am – 12:00 pm Week 2 Data Foundations: Vectors and Matrices 20th January 9:30 am – 12:00 pm Week 3 More Complex Data Structures: Data Frames and Lists 27th January 9:30 am – 12:00 pm Week 4 Building Logic: Operators, Conditions, and Functions 3rd February 9:30 am – 12:00 pm Week 5 Graphing with { ggplot2
}10th February 9:30 am – 12:00 pm Week 6 R-fresh: Revisiting the Essentials 3rd March 2:00 pm – 4:30 pm Week 7 Smart Shortcuts: Mastering the apply
Family10th March 9:30 am – 12:00 pm Week 8 Tidy Your Data: Exploring { tidyr
} and {dplyr
}17th March 9:30 am – 12:00 pm Week 9 String Tricks & Final Review 24nd March 9:30 am – 12:00 pm Week 10 Your project presentation 6th May 1:00 pm - 4:00 pm
Recommended Readings
- R for Data Science by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund.
- Hands-On Programming with R by Garrett Grolemund
- ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham
- YaRrr! The Pirate’s Guide to R by Nathaniel D. Phillips
- CRAN R Documentation