Interactive Statistics Course
Learn statistics the intuitive way — one cohesive path from describing data to probability, distributions, inference and advanced modeling. Every idea is paired with a hands-on interactive tool you can play with.
Describing Data
Averages, spread, and the shape of a dataset.
Collecting Data
How data is produced — study design, sampling, and what a design lets you conclude.
Probability
The logic of chance — from coin flips to Bayes' theorem.
Random Variables & Distributions
Random variables, expectation, and the famous bell curve.
Sampling & the CLT
Why a sample can speak for a population — the heart of statistics.
Confidence & Inference
Confidence intervals, hypothesis tests, p-values, and inference for means, proportions and categorical data.
Relationships & Regression
Correlation, least-squares lines, and reading a model honestly.
Beyond Intro: Advanced & Bayesian Modeling
Optional track, beyond the intro course: MGFs, maximum likelihood, Bayesian A/B testing and reliability.
A hands-on path from first principles to advanced modeling — every idea paired with an interactive tool. Free and open to everyone.