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R

scRNA-seq Data Analysis - 07.-10. Sept 2026 - Registration OPEN

This free course is a collaboration between ELIXIR Estonia and ELIXIR Czech Republic. Single-cell RNA sequencing (scRNA-seq) allows researchers to study gene expression at the level of individual cells. This approach can, for example, help to identify different cell populations in a complex sample and describe their expression patterns. To generate and analyse scRNA-seq data, several methods are available, all with their strengths and weaknesses depending on the researchers’ needs. This 3-day course will cover the main technologies as well as the main aspects to consider while designing an scRNA-seq experiment. In particular, it will combine the theoretical background of analytical methods with hands-on data analysis sessions focused on data generated by droplet-based platforms.

Introduction to Exploratory Data Analysis (EDA) with R - 14.04.2026 - CANCELLED

Are you ready to unlock the potential of your data? This one-day workshop will introduce you to Exploratory Data Analysis (EDA)—an essential first step in any data analysis workflow.

Designed for graduate-level learners without a computational background, this course will equip you with the foundational skills to summarize, visualize, and interpret data effectively. With a hands-on, beginner-friendly approach, you’ll practice these skills using real-world datasets and leave with the confidence to explore data independently.

Before attending the course, please ensure you have installed on your laptop:

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.

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.

Introduction to Exploratory Data Analysis (EDA) with R - 29.01.2025

Course is full. You can sign up for a waiting list in case anyone cancels their attendance.

Are you ready to unlock the potential of your data? This one-day workshop will introduce you to Exploratory Data Analysis (EDA)—an essential first step in any data analysis workflow. Designed for graduate-level learners without a computational background, this course will equip you with the foundational skills to summarize, visualize, and interpret data effectively. With a hands-on, beginner-friendly approach, you’ll practice these skills using real-world datasets and leave with the confidence to explore data independently.

Before attending the course, please ensure you have installed on your laptop:

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.