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School for Transdisciplinary Studies

5 Steps to Good Data Science Practice in R (10SMOS_2)


In this course you will take 5 Steps to Good Data Science Practice in R:

  1. Version control with git: never lose a file or parts of an analysis again

  2. Reproducible computing with R: unit test your functions for full quality control

  3. Questionable research practices: avoid p-hacking, HARKING and Co.

  4. Good statistical practice: use correct p-values, sample size planning and multiple testing

  5. Tools in R for meta data: benefit from the power of metadata to reproduce research results

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.

Target group


ECTS Credits


Course catalogue

You can find more information about the module here.

Weiterführende Informationen

P-8: Digital Skills for You (DISK4U)

P-8: Digital Skills for You (DISK4U)

More about P-8: Digital Skills for You (DISK4U)

Cross-faculty courses to strengthen digital skills in teaching


Dr. Eva Furrer