This course is designed to give VU FSW researchers all that is necessary to start using R in their everyday work.
Everyone is welcomed, from PhD students to professors. It does not matter if you are a qualitative researcher that has never used R, or a quantitative researcher that wants to learn new topics or move out of SPSS/STATA.
When: From February 13th to June 19th, 2026, between 9:30 and 12:30 hrs.
Where: In February and March HG-1G13. For April, May and June in HG-1G11. Online is also possible.
Register: Already full. You can send us an email, and we will place you in the waiting list (in case someone cancels).
Itinerary and locations
Please keep in mind that all the material builds on itself. If you are interested on a specific topic then you need to attend (know about) all the previous sessions:
- February 13th[HG-1G13]: Introduction to R, R-Studio, and data frames
- February 27th[HG-1G13]: Introduction to packages, Tidyverse, and R-Markdown
- March 13th[HG-1G13]: Introduction to data visualization using ggplot2
- March 27th[HG-1G13]: Introduction to unsupervised learning
- April 10th[HG-1G11]: Introduction to statistical analysis with base R
- April 24th[HG-1G11]: Introduction to supervised learning
- May 8th[HG-1G11]: Introduction to text as data
- May 22nd[HG-1G11]: Introduction to text mining with tidytext
- June 5th[HG-1G11]: Introduction to machine learning for text with textrecipes
- June 19th[HG-1G11]: Introduction to basic programming with R
Depending on public holidays some dates may be moved.
More information
You can find all the material here: https://github.com/SofiaG1l/R_Course
