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Data Science · Module 6 of 10

Statistics and probability

Use statistics to draw reliable conclusions.

📖 Key ideas

  1. Descriptive vs inferential statistics.
  2. Probability distributions: normal, binomial, Poisson.
  3. Sampling and confidence intervals.
  4. Hypothesis tests: t-test, chi-square, p-values.
  5. A/B testing for product decisions.
💡 Real-life example: Statistics is tasting a spoon of soup to judge the whole pot, with a note on how sure you are.
p-valueEvidence against the null hypothesis
Confidence intervalRange likely containing the true value
Normal distributionBell curve
A/B testControlled experiment comparing versions