Training modules

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Introduction to Python for data analysis

This tutorial aims at introducing students to the programming language Python for data analysis. By the end of this module, students will be familiar with Python basic syntax and understand why Python serves well the purpose of data analysis.

Introduction to python packaging with `pipy`

In this module, you will learn how to package python modules using pypi. This will let you install some of your own code with pip, dealing cleanly with dependencies, as well as share publicly a package.

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Introduction to spinal cord MRI analysis

This tutorial introduces basics of spinal cord MRI data analysis using the Spinal Cord Toolbox. The tutorial will cover the installation of the Spinal Cord Toolbox, the processing of spinal cord MRI data, and the visualization of the results.

Machine learning basics

Learning the basics of machine learning using Jupyter Notebook.

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Machine learning for neuroimaging

Application of machine learning to fMRI data analysis. In this module, we will go over extracting features (X) and target (y), fitting the model to the data with cross-validation and tweaking our models.

Neuroimaging data and file structures in Python

Learning the basics of neuroimaging file format with Nibabel.

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Open data

Learning the basics of open data and open resource discovery.

Project management

Learning about the importance and benefits of project management adhering to community standards to achieve shareable science.

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Research data management using DataLad

Learning the basics of the DataLad version control system for research data. DataLad is a community project built on top of git and git-annex and a critical tool for reproducible cognitive neuroscience.

Software testing and continuous integration

Introduction to testing practices for software development and in particular continuous integration, with a guided hands-on example.

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