This lecture covers the rationale for developing the DAQCORD, a framework for the design, documentation, and reporting of data curation methods in order to advance the scientific rigour, reproducibility, and analysis of data.

This lecture gives an overview of how to prepare and preprocess neuroimaging (EEG/MEG) data for use in TVB.  

This is a tutorial introducing participants to the basics of RNA-sequencing data and how to analyze its features using Seurat. 

This lesson gives an introduction to the central concepts of machine learning, and how they can be applied in Python using the scikit-learn package.