Skip to content

Statistics

Introduction to statistics with R - 23.04-2026 and 24.04.2026 - CANCELLED

This 2 day 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/

Requirements

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.

Course at Basel, Switzerland: Introduction to Bayesian Statistics with R

This 2-day course will introduce participants to the core concepts of Bayesian statistics through lectures and practical exercises. The exercises will be implemented in the widely used R programming language and the Rstan library. They will enable participants to use standard Bayesian statistical tools and interpret their results.

Registration deadline: April 22, 2024 or as soon as the course is full

More Info and Registration