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What a senior data scientist must know cold: statistics, experiment design, causal inference, metric craft, modeling judgment, and evaluation, plus one section on the 2026 market and one on interview prep.
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Full ML data prep lifecycle in Pandas: load, clean, impute, engineer features, encode, scale, and ship to model.