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Statistics

Probability, inference, and regression — the reasoning under every data claim.

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15 picks · 12 free · 13 providers · curated by Rowland Kuru

Editor's intro

Editor's intro

Statistics is the discipline of not fooling yourself with data. It underpins data science, machine learning, medicine, and every news story about "a new study," yet most people only meet it as a box-ticking required course. This feed collects resources that teach statistics as a way of reasoning — what a p-value does and doesn't mean, why sample size matters, and when correlation is worth taking seriously.

If formulas put you off, start with the visual and interactive picks; the intuition matters more than the notation at first. Then work through one proper textbook with its exercises. The intermediate section splits between probability theory and applied modeling; the advanced section is about causal inference, which is where statistics meets real decisions.

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Statistics and Probability

Khan Academy Interactive Free

Khan Academy's Statistics and Probability course is thorough, patient, and free, and it covers everything a first university statistics course would — from describing data through probability, sampling distributions, confidence intervals, and significance tests. Each short video is followed by practice problems with hints, so you find out immediately whether an idea has landed. Work through it unit by unit and don't skip the practice; that's where the understanding comes from.

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Beginner · 6

Distributions, sampling, confidence intervals, and hypothesis tests — with intuition before formulas.

Intermediate · 5

Probability in depth, regression, and Bayesian thinking. Expect real mathematics.

Advanced · 3

Causal inference and principled modeling, for people making decisions from data.

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