Published Courses on Data Science
Self-paced, intuition-first courses on data science and statistics — for anyone who prefers to learn by watching and doing, at their own pace.
Statistics Fundamentals for Data Science
Understand distributions, hypothesis testing, and statistical tests, the intuitive way
Statistics is the backbone of data science, but it's often taught as a wall of formulas that's easy to memorize and hard to truly understand. This course builds your intuition first, so every concept clicks before the math ever comes into it — from the core distributions to hypothesis testing and the statistical tests used in real practice.
- Understand how statistics uses a sample to draw and defend conclusions about a population
- Read and interpret the normal distribution, CLT, t-distribution, chi-square, and F-distribution
- Choose the right statistical test for any problem, from t-tests to ANOVA and chi-square
- Run a hypothesis test end to end: hypotheses, statistic, p-value, assumptions, decision
- 10 sections · 46 lectures · 1h 20m · No prior statistics background needed