Because of these corona-days, I have made and sent around a list of useful online resources to learn programming and data analysis using R and Python. I hope it is useful for others as well.

Data analysis with R

• What I’d recommend is to suscribe to DataCamp and enroll in the data analyst with r career track.
• The Modern Dive online book is also very complete and thorough.
• The other option, less extensive, is to self-study Carpentries-style courses:
  • https://carpentries-incubator.github.io/open-science-with-r/.
  • https://carpentries-incubator.github.io/git-Rstudio-course/.

Bioinformatics and Python programming

• A great book to get started.
• The Software Carpentry lessons are not per se on bioinformatics but rather give a set of good practices and basic programming skills.
• Whenever you want to install something on your computer, the conda software manager is a great and easy solution for that.

Omics

• This lesson on RNA sequencing still in its infancy but already run once!
• The official Data Carpentry genomics lesson.

Various topics

• A very nice image processing lesson
• A presentation that I’ve made for the EPS graduate school council that summarises data and code “tips and tricks” for wet-lab biologists.