Data Carpentry

Catalog description

For first-year Neurosciences IDP graduate students. This hands-on course introduces core tools for research computing. Students will learn to use command line Bash and work effectively in the Unix shell; track, version, and share code with Git; transfer research data between Stanford data storage systems; access Stanford HPC resources (FarmShare, Sherlock) via the browser-based Open OnDemand portal; and use Python for scientific computing and reproducible analysis. Students will also be introduced to popular, open-source neuroscience-specific Python packages.