- Focused on temporal data analysis rather than general programming.
- Covers decomposition, stationarity testing, and advanced forecasting methods.
- Emphasizes end-to-end pipeline: preprocessing → modeling → evaluation → deployment.
- Hands-on labs simulate real-world forecasting scenarios.
- Unlike general Python tutorials, it targets practical business and scientific applications.
