Nine sessions.
One analytical toolkit.
Move from the language of data to the logic of statistical modelling. Each session opens as an interactive slide deck.
Data & Data Collection
Data types, collection methods, variables, relationships, causation, bias, and ethics.
Descriptive & Summary Statistics
Measures of location and variability, distributions, visual summaries, and the data process.
Probability & Sampling
Probability rules, conditional probability, Bayes' theorem, random variables, and sampling.
Random-Variable Distributions
Normal, Bernoulli, geometric, binomial, Poisson, uniform, and log-normal distributions.
Foundations of Inference
Point estimators, sampling distributions, the central limit theorem, and confidence intervals.
Hypothesis Testing
Null and alternative hypotheses, errors, p-values, testing workflows, and decisions.
Testing Two Populations
Independent and matched samples, differences between means, and population proportions.
Chi-Square Tests & ANOVA
Association, goodness of fit, homogeneity, variance inference, and analysis of variance.
Correlation & Regression
Simple and multiple regression, inference, selection, diagnostics, and model fit.
Ready when you are.
Open any session above, or jump straight in with session one. Inside a deck, use the arrow keys to navigate and press F for fullscreen.