The main purpose of this repository is to collect example data and instruction scripts to highlight key features of the R and python programming languages. Training sessions are divided into R, python and Git training. All example data are centrally available from the Data folder.
Disclaimer: We prepared these sessions to give a very broad introduction to the R and python programming language. These sessions should not replace university courses and might not contain all relevant topics.
- March 24, Introduction to Data Analysis Environments - slides
- April 14, Version control with Git - slides - Workshop instructions
- June 21 2022, DQBM retreat, Tipps & Tricks for data analysis in R
Always the HTML file of the newest session can be placed as index.html to the root of the repository.
It will be rendered at bodenmillergroup.github.io/IntroDataAnalysis.
- Nils Eling (R sessions)
- Jonas Windhager (Python sessions)
- Laura Kinkead (Version control with Git)
This work is distributed under the CC-BY-NC-SA-4.0 license.