In this course you will take 5 Steps to Good Data Science Practice in R: Version control with git: never lose a file or parts of an analysis again Reproducible computing with R: write dynamic reports and unit test your functions for full quality control Questionable research practices: avoid p-hacking, HARKING and Co. Good statistical practice: use correct p-values, sample size planning and multiple testing You will acquire the necessary skills to make collaborative, reusable and transparent research, or in other words Open and Reproducible Science, too easy not to do.