Course Syllabus
Welcome to the course!
To access more than this course overview, you need to be registered for the course.
The course starts on November 1st 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/. For older versions of RStudio see https://global.rstudio.com/products/rstudio/older-versions/.
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If you are accepted to the course, remember to register before the date specified in the welcome letter. Otherwise you will loose your place on the course. |
Teachers
Joakim Wallmark and Filip Edström
If you have any questions, please send us an email with the subject starting with [DAwR]. It helps us to keep track of course related emails and respond faster. You may write in English or Swedish in emails (assignments are in English only).
Course literature
Lecture notes (available at https://fileds.quarto.pub/data-analytics-with-r/)
R for data science (R4DS) : 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
See course material under Modules for reading instructions.