Previous Training

Tidyverse is a collection of R-packages used for data manipulation, exploration and visualisation. This half-day course “Introduction to tidyverse” (13 March 2018) aims at introducing the tidyverse packages in order to increase productivity of data handling.…

Tidyverse is a collection of R-packages used for data manipulation, exploration and visualisation. This half-day course “Introduction to tidyverse” (7 March 2018) aims at introducing the tidyverse packages in order to increase productivity of data handling.

The course is…

Tidyverse is a collection of R-packages used for data manipulation, exploration and visualisation. This half-day course “Introduction to tidyverse” (5 March 2018) aims at introducing the tidyverse packages in order to increase productivity of data handling.

The course is…

Tidyverse is a collection of R-packages used for data manipulation, exploration and visualisation. This half-day course “Introduction to tidyverse” (21 February 2018) aims at introducing the tidyverse packages in order to increase productivity of data handling.

The…

Short hands-on workshop (19 February 2018) aimed at people who wish to start learning R from scratch. No previous experience with R or other programming languages is expected.

The trainer for this course is Paula Andrea, ELIXIR…

This short course “Quick introduction to RStudio” (23 January 2018) aims at introducing the basic features in RStudio to get started with R. It will follow-up with a workshop in data manipulation using tidyverse.

Two-day data processing course (5-6 October 2017). This course starts with an introduction to the language, its simple datatypes and control structures, moving on to its more complex data structures, and classes. The emphasis is on how to use Python to solve real world problems in the domain of…

This two-day workshop (14-15 September 2017) will introduce the basic concepts of comparative and functional -omics data analysis in plants through lectures and practical hands-on sessions. Both plant biologists and geneticists with an interest in bioinformatics, data analysis, and comparative…

Three days training (11-13 September 2017) for life scientists. Aims to introduce the concepts as well as hands-on skills to the data mining and machine learning techniques that are able to analyse biomedical data.

Target audience: doctoral students and postdoctoral researchers in life…

This three-day workshop (30 May - 1 June 2017) will showcase the potential of FAIR data in the context of plant research and will host a hackathon to make the…