1. Explain what version control is and why it matters for data science work
  2. Track changes to a project using the core Git workflow: status, add, and commit
  3. Read a project's history with git log and inspect changes with git diff
  4. Create and merge branches to work on changes safely
  5. Describe how remotes work and share changes with push and pull