Git & GitHub: Practical Version Control for Data Work

Version control is no longer optional for data analysis, research, or collaborative projects.
In this session, we introduce Git and GitHub with a practical, workflow-driven approach.

We will cover:

• What Git is and why it matters for reproducibility and collaboration
• Core concepts: repositories, commits, branches, and history
• Using GitHub to share work, track changes, and collaborate safely
• Common workflows for data scientists and analysts

The session is designed for beginners and self-taught users who want a clear mental model and practical habits they can immediately apply.

No prior experience with Git is required.
Bring curiosity and your laptop.