A beginner-to-intermediate journey that builds practical data intuition, uncertainty reasoning, and statistical habits for confident interpretation and better decisions.
A modular, instructor-ready course that builds practical data intuition, uncertainty reasoning, and everyday statistical habits. Includes detailed module overviews, timed lesson plans, slide skeletons, two hands-on exercises per module, short assessment items, recommended datasets and tools, and notes for tailoring to teams and roles.
A compact one-page reference to read common statistical outputs, express uncertainty clearly, avoid frequent pitfalls, and apply quick rules of thumb for sample size, power, and practical significance.
One-page practical reference for interpreting confidence intervals, p-values, effect sizes, and probabilistic language. Includes quick formulae, simple checks for sample-size and effect-size relevance, guidance on when to use probabilistic forecasts versus point estimates, and ready-to-use phrasing for communicating uncertainty to different stakeholders.