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When Numbers Argue: Regression, Inference, and the Logic of Proof

Regression is how data scientists settle arguments - not with opinion, but with coefficients and confidence intervals. You will learn to fit linear models that actually reflect reality, stress-test assumptions that most analysts skip, and apply the logic of statistical inference to make decisions you can defend under pressure.

⏱25m

📖5 lessons

📊intermediate

When Numbers Argue: Regression, Inference, and the Logic of Proof

Syllabus

Inference in Practice - Confounding, Interaction Terms, and Knowing When to Stop

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When Numbers Argue: Regression, Inference, and the Logic of Proof

Syllabus

The Line That Explains Everything (And Why It Doesn't)

Multiple Predictors, Multicollinearity, and the Curse of Adding Variables

Five Assumptions You Must Check Before Trusting Any Output

Hypothesis Testing, P-Values, and What Confidence Intervals Actually Tell You

Inference in Practice - Confounding, Interaction Terms, and Knowing When to Stop

When Numbers Argue: Regression, Inference, and the Logic of Proof

Syllabus

The Line That Explains Everything (And Why It Doesn't)

Multiple Predictors, Multicollinearity, and the Curse of Adding Variables

Five Assumptions You Must Check Before Trusting Any Output

Hypothesis Testing, P-Values, and What Confidence Intervals Actually Tell You

Inference in Practice - Confounding, Interaction Terms, and Knowing When to Stop