A course to help learners find resources and tools to help them process and interpret their genomic data

DaSL's course on AI skills for efficient programming

The course covers the key underlying principles and concepts in computing. It covers concrete discussions of the differences between cloud and local computing. The course highlights a number of computing options and etiquette for using shared resources.

This course discusses reproducibility and replicability in the context of cancer informatics.

This course the second course in a two part series that discusses reproducibility in the context of cancer informatics.

This course covers the pitfalls of informatics research and discusses best practices and tools to overcome the challenges of working with and managing multidisciplinary teams. It also covers guidelines to promote diversity and inclusion in your lab and research.

A course to cover the basics of creating documentation and tutorials to maximize the usability of informatics tools

This is the series of courses in Fred Hutch DaSL's "AI for Decision Makers" specialization on Coursera.

This course is designed to help researchers and investigators understand the key principles of data management from an ethics, privacy, security, usability and discoverability perspective.

The course covers basic information about why LaTeX can be useful, how to get started in Overleaf using LaTeX with a template, how to work with a team on Overleaf, and what to do when you encounter problems.

Learn about the new NIH data sharing policy, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

A course that introduces Github actions to developers of scientific worklflows and software