06Decisions
One-Sample & Paired Inference
One-sample applications, exact and approximate proportion tests, paired differences, errors, power, and practical importance.
Course journey · 01—09
Nine sessions.
Nine sessions.
One analytical toolkit.
Sessions 1–5 are available now. Further sessions will open as the course progresses.
01Foundations
Data & Data Collection
Data collection, variables, sampling, study design, bias, ethics and responsible use of evidence.
02Exploration
Exploring Data & Introducing Probability
Centre, spread, graphics and a risk dashboard, followed by outcomes, events and the foundations of probability.
03Uncertainty
Probability & Bayesian Updating
Probability interpretations, the law of large numbers, event rules, total probability, Bayes' theorem and random losses.
04Models
Probability Models & Sampling Uncertainty
Bernoulli and binomial models, waiting times, event counts, continuous models, normal calculations and sampling uncertainty.
05Inference
Estimation, Confidence Intervals & Testing
Estimator properties, confidence-interval construction, precision planning, one-sample tests, p-values, and critical regions.
07Comparison
Comparing Groups & Categorical Outcomes
Independent means, Welch tests, two proportions, chi-square association, goodness of fit, and effect sizes.
08Regression
ANOVA & Regression
Several means, correlation, fitted lines, predictions and slope inference, followed by a first multiple regression with categorical predictors.
09Application
Model Checking & a Complete Analysis
Adjusted models, residual diagnostics, validation, and a 30-minute banking analysis workshop leading to a clear recommendation.
Ready when you are.
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