Special course in bioinformatics - 15-18.06.2026
ELIXIR-Estonia will provide a bioinformatics course that will cover an overview of basic R, statistics, graphical visualization, data management and sharing.
ELIXIR-Estonia will provide a bioinformatics course that will cover an overview of basic R, statistics, graphical visualization, data management and sharing.
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/
Basics of RStudio IDE, basics of R:
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
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
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.
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
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.
This is a 2-day workshop for biologists needing to perform statistical analyses using R.
In this course, participants will learn to utilize the ggplot2 package, a widely-used tool in R for creating visually appealing and highly customizable graphs.
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.
The aim of the course is to give the participants the basics to be able to independently work in R.