Course Syllabus
Welcome to the course!
If you are registered and want to get started with the course, head over to Modules to find the course material and Assignments to find the assignments. If you have any questions, ask in Discussions or send a PM or email to one of the teachers.
Course information
The course starts on June 9th 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/.
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If you are accepted to the course, remember to register on Ladok before the date specified in the welcome letter. Otherwise you will loose your place on the course. |
Teachers
Filip Edström, supported by Joakim Wallmark
If you have any questions, please send Filip 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
Once the course starts, see Course literature R for Data Science (R4DS) with reading instructions for reading instructions.