Study Material and Exercises
Tutorial: Unix
Preliminaries
Exercises
Reading
Recommended Reading
Tutorial: Git
Preliminaries
Exercises
Reading
Recommended Reading
Tutorial: Intro to R programming for data analysis
Self-study notebook
Reading
A selection of small chapters and sections that explain concepts we cover in the course:
- R for Data Science (the whole book is great and even covers basic R)
- Section 1. Intro (if the tidyverse context or applications are not clear)
- Section 4. Workflow: basics (good tips for working with code)
- Section 5. Data Transformations
- Section 18. Pipes (about the
%>%
operator)
- Section 19. Functions (you can skip the last section about environments)
- Advanced R
- Section 4. Subsetting (different ways to access elements in R data structures)
- Misc
Recommended Reading
Tutorial: Gene prediction/annotation
Practical info for projects
Chalmers University of Technology