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RStudio

Introduction to statistics with R - 23.04-2026 and 24.04.2026 - Registration open

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/

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.

RStudio for beginners - 05.03.2026

R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.

RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.

RStudio for beginners - 01.09.2025

R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.

RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.

RStudio Basic - 02.10.2024

R is a free software environment for statistical computing and graphics. It compiles and runs on various UNIX platforms, Windows and MacOS.

RStudio is an essential tool for anyone involved in R programming. It plays a vital role in data analysis by facilitating data import, access, transformation, exploration, visualization, and modeling tasks. If you’re embarking on your journey to learn R, now is the perfect moment to familiarize yourself with RStudio. Discover what RStudio is, how to install it, and begin harnessing its capabilities to enhance your data analysis and programming skills.

It would be beneficial to participate in OpenRefine course, so your data would be clean before you start analysing it.