Layer 0 explains the math/statistics behind learning. Layer 1 covers how to make inputs trustworthy enough for that math to matter.
- Data types and schema constraints
- Cleaning, validation, and unit consistency
- Exploration and sanity checks
- Python and tooling habits for reproducible work