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| Week | Focus | |------|-------| | 1 | EDA + robust statistics | | 2 | Sampling + randomization | | 3 | Inference with bootstrapping | | 4 | Regression diagnostics | | 5 | Classification metrics + calibration | | 6 | A/B testing + causal methods |
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practical-statistics-for-data-scientists/_config.yml at master practical statistics for data scientists github
: Understanding random sampling, selection bias, and the Central Limit Theorem. | Week | Focus | |------|-------| | 1
While focused on visualization, Claus Wilke’s work is essential for understanding the statistics of "seeing" data. practical statistics for data scientists github