We’ll have 4 tutorials in total, splitted into two overaching topics and programming languages. They will aim at providing an introduction to the specific programming language and subsequently show how to conduct analyses in them. In the following we provide more information.

Day 1 - Tutorial 1 - Intro to Python

This introductory tutorial covers the very first steps how to start working with Python (installation, different IDEs, where to get help, and resources to learn python) and brings you closer to the first coding.

Day 1 - Tutorial 2 - fMRI in Python

This tutorial will discuss how to use the Python programming language in the analysis of neuroimaging data, from preprocessing to statistical analysis using Nipy, Nipype and Nilearn.

Day 2 - Tutorial 1 - Intro to R

This short tutorial will give an overview of the basis of the syntax, common functions and basic operations in R. We will take the first steps together to discover the basics of R programming and get solid foundations for future learning. The tutorial will be followed by a hands-on part where you can download the code shown during the tutorial and try to use it with your own data

Day 2 - Tutorial 2 - Meta-analysis in R

During this tutorial you will be walked through the process of conducting a meta-analysis: from preparing the data in excel to the functions used in R to assess outliers and complete the effect-size calculation. The tutorial is based on analyses conducted for this publication. https://doi.org/10.1101/2021.09.30.21264271.