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workshop

RStudio for beginners - 05.03.2026 - Registration open

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.

CodeRefinery workshop for reproducible research code - March 17-19 and 24-26, 2026 - Registration OPEN

Are you writing code for your research? Do you struggle to reproduce results of your own or others computations?

Join the online CodeRefinery workshop on six half days, March 17-19 and 24-26, 2026, 10 - 15 CET.

The CodeRefinery workshop aims to support researchers of all domains, levels and preferred programming languages to write more reproducible research code. The workshop is held online (streamed on Twitch) with interactive hands-on sessions during the first week.

OpenRefine andmete puhastamiseks - 07.11.2025

Praktiline töötuba, kus puhastame käsitsi sisestatud andmeid OpenRefine tarkvaraga. Esmalt käsitleme tabelarvutuse parimaid tavasid ning seejärel rakendame teadmisi OpenRefine’is. Koolitusel uurime OpenRefine tarkvara funktsionaalsusi: andmete puhastamist suuremate partiidena ja andmete ühtlustamist ühe hoobiga. Lisaks tutvustame võimalust laadida alla täiendavaid andmeid teistest andmebaasidest ja lisarakendusi.

Vajalik ette installeerida:

How to make your messy data usable? / OpenRefine - 23.10.2025

The practical workshop on cleaning your messy data with OpenRefine software.

First, we will cover spreadsheet best practices. Then, we will put that knowledge into practice with OpenRefine. This course will explore the depths of OpenRefine software and see what it can offer. This will include cleaning the data in bigger batches and unifying the data in one sweep (transforms and expressions). Additionally, we will introduce the possibility of downloading additional data from other databases and different extensions OpenRefine software has.

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.

Bring your own DMP workshop - 8.05.2025. - CANCELLED

Join our workshop for practical guidance on Data Management Plans (DMPs). We’ll discuss relevant resources, the data life cycle, READMEs, GDPR considerations, and FAIR data sharing. The session incorporates 3-4 dedicated 30-minute writing blocks for you to actively draft your DMP. Our data steward will be present throughout to offer support and answer your questions.

Bring your own DMP workshop - 29.05.2025.

Join our workshop for practical guidance on Data Management Plans (DMPs). We’ll discuss relevant resources, the data life cycle, READMEs, GDPR considerations, and FAIR data sharing. The session incorporates 3-4 dedicated 30-minute writing blocks for you to actively draft your DMP. Our data steward will be present throughout to offer support and answer your questions.

Python for beginners - 11.02.2025

The “Python for Beginners” course introduces Python programming, designed for those with little to no prior experience. Upon completion, students will have a firm grasp of Python fundamentals and be equipped with the skills to start their journey in Python programming.