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23 courses. Python and R are free in full; every other course opens its first two chapters as a preview and unlocks entirely with a subscription.
Linux, Git, workflow managers, HPC, cloud and the desktop and web tools every computational lab runs on.
Command-line foundations for computational biology
The shell skills every bioinformatics workflow assumes you already have: installation, the filesystem, file manipulation, pipes and redirection, text processing with grep/sed/awk, permissions, processes, SSH, package management and shell scripting.
Version control, collaboration and reproducibility
Git for scientific work: installation and configuration, the commit model, branching and merging, remotes, pull requests, resolving conflicts, releases and DOIs, GitHub Actions, and the reproducibility practices reviewers increasingly expect.