You can't do data science without a solid foundation. The bootcamp covers:
| Skill | Coverage (0–10) | Notes | |-------|----------------|-------| | Python (pandas) | 8 | Solid, but no real-world data cleaning | | Statistics (p-values, distributions) | 6 | Conceptual, not applied to A/B testing | | SQL | 7 | Good joins, no window functions | | ML (train/test, overfitting) | 7 | Strong intuition, weak on hyperparameter tuning | | Visualization | 5 | Tableau intro; no matplotlib / seaborn customization | | Deployment | 0 | None. Absolutely zero. | | Communication | 2 | One optional lecture on “presenting results” | You can't do data science without a solid foundation
Taking this course in 2026 feels like watching a documentary about the early internet. Consider what’s missing: | | Communication | 2 | One optional
But as an introduction ? 8.5/10.