This course is designed to provide researchers in biomedical sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems.
The course will combine lectures on statistics and practical exercises, during which the participants will learn how to work with the widely used “R” language and environment for statistical computing and graphics.
Topics covered during the course include: reminders about numerical and graphical summaries, and hypothesis testing; multiple testing, linear models, correlation and regression, and other topics. Participants will also have the opportunity to ask questions about the analysis of their own data.
The course extensively covers materials from https://sib-swiss.github.io/Introduction-to-statistics-with-R/
Basics of RStudio IDE, basics of R:
- knows how to install packages,
- knows basic data operations - loading in data, fetching data from dataframe, table transformations/pipes,
- basic concepts of plotting - easy plotting in ggplot2 or some other plotting library
Test your knowledge here: https://www.evamariakiss.de/tutorial/rquiz/quiz_fundamentals.php
Please note, if you get >= 50%, you are eligible for this course. Else, try to find a Basics in R course before attending this one - we provide courses in this too! Materials for that course are available here: https://github.com/ELIXIREstonia/2026-03-05-R-basic
Technical prerequisites:
To do the exercises, you are required to have
- your own computer with at least 4 Gb of RAM and with an internet connection,
- as well as the latest the version of R version 4.5.1 (2025-06-13) – “Great Square Root”
(R studio ver): 2026.01.1
- the free version of RStudio installed.