This is intended to be a collection of links to helpful tutorial resources. If you have comments about the resources, whether they were helpful or not, are the links dead, etc, please let us know at email@example.com.
Nipype Beginner’s Guide
While mainly in introduction to the Python-based Nipype software, Michael Notter’s Nipype Beginner’s Guide also has a very good summary of neuroimaging data, its collection, and the flow through the various processing steps.
Berkeley Functional MRI methods course
For those seriously interested in Python-based fMRI analysis, the web site for UC Berkeley’s web site for their Psychology 214, Functional MRI methods course is a must see.
Organizing data and workflow
There is a very good article on organizing neuroimaging data and
Psychiatry Methods Core tutorials
The Psychiatry Methods Core has created a series of videos and PDF documents that cover a variety of topics on their scripts and processing stream. The list can be found on the Psychiatry Methods Core Support page.
In the summer of 2017, Nick Michalak and Iris Wang taught a workshop “R Programming for Research”. The workshop was based around Hadley Wickham's “Tidyverse” and his notion of tidy data. Additionally, graphical techniques using the “Grammar of Graphics”, largely formulated by Leland Wilkinson, were introduced.
R Programming for Research GitHub repository. You can read about it here, and exercises and examples are available for download.
The Linux Command Line: Second Internet Edition, William E Schott, Version 13.07, July 2013. http://linuxcommand.org/