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: First-come-first-served applies. We only have 15 places. We will notify you in January 13th whether you got a place in all the sessions you selected. https://forms.office.com/e/xBY9gP3upc.
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
