List of training modules

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.

Machine learning basics

Learning the basics of machine learning using Jupyter Notebook.

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.

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.

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.

The brain imaging data standards and applications

Learning the basics of the brain imaging data structure, the pybids interface to interact with a BIDS-compliant dataset as well as the BIDS apps - a collection of software designed to operate on BIDS datasets.