Welcome to the course!

To access more than this course overview, you need to be registered for the course.

The course starts on June 3 and relies mostly on recorded material and self studies with opportunities for non mandatory online supervision (Zoom). Important information before the course starts can be found in the welcome letter. Once you are registered on the course, you can access the course material under the Modules tab here on Canvas. To complete the course, there are three mandatory assignments, which can be found under the Assignments tab.

The course requires you to install R and RStudio on your computer. Instructions on how to install R and RStudio can be found https://posit.co/download/rstudio-desktop/.

Teachers

Joakim Wallmark and Filip Edström

If you have any questions, please send us an email with the subject starting with [DAwR-1]. It helps us identifying emails and helps us respond faster.

Course literature

R for data science : import, tidy, transform, visualize and model data (2nd edition, available free online at https://r4ds.hadley.nz/)
Wickham Hadley, Mine Çetinkaya-Rundel, Grolemund Garrett
2023
ISBN: 1492097403

Reading instructions will be posted as the course starts, but if you're eager to get going chapters 1-9 is a good start.