Data Analytics

The course arc

Uncertainty. Then inference. Then action.

First learn to quantify what you do not know. Then use structured inference to narrow it. Then translate the narrowing into a decision. — the course, in one line

Block I · Quantifying Uncertainty

• m.01
  The Range You Can Defend

  A point estimate is a guess. A confidence interval is a promise about a range.
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• m.02
  A/B Testing & Hypothesis Logic

  Random assignment kills confounding. Everything else is noise.
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Block II · Inference & Prediction

• m.03
  Regression & Correlation

  Fit a line. Read the slope. Respect the residuals.
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• m.04
  Dummies, Interactions & Validation

  Encode categories. Allow slopes to differ. Train on one set, validate on another.
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• m.05
  From Data to Decision

  Statistical significance ≠ practical significance. Always ask both.
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