Statistics Quest

Curriculum

From statistical thinking to defensible conclusions

Each track builds on the ones before it. Every lesson combines explanation, worked examples, interactive demonstrations and graded exercises on realistic data. Tracks 1–2 and the first lesson of every track are free.

Not sure where to start? Take the placement diagnostic — it recommends a starting track and never marks lessons as complete.

  1. Statistical ThinkingWhat statistics is for, and how data are produced, before any formula.Foundation10 lessons72 graded exercisesabout 5 hoursFree
  2. Describing DataSummarise a dataset with the right measures of centre, spread and shape.Foundation11 lessons87 graded exercisesabout 5 hoursFree
  3. Visualising and Exploring DataChoose, build and read charts that tell the truth about data.Foundation11 lessons90 graded exercisesabout 5 hoursFirst lesson free
  4. ProbabilityThe rules of chance, conditional probability and Bayes' theorem.Foundation9 lessons71 graded exercisesabout 5 hoursFirst lesson free
  5. Probability DistributionsThe models behind data and inference, from the binomial to the F distribution.Intermediate10 lessons80 graded exercisesabout 5 hoursFirst lesson free
  6. Sampling and the Central Limit TheoremHow samples behave, and why averages become predictable.Intermediate8 lessons56 graded exercisesabout 4 hoursFirst lesson free
  7. Estimation and Confidence IntervalsEstimate unknown quantities and state the uncertainty honestly.Intermediate10 lessons72 graded exercisesabout 5 hoursFirst lesson free
  8. Hypothesis TestingTest claims with data and draw defensible conclusions.Intermediate14 lessons100 graded exercisesabout 7 hoursFirst lesson free
  9. Correlation and RegressionModel relationships between variables, and know the limits.Advanced15 lessons115 graded exercisesabout 9 hoursFirst lesson free
  10. Comparing Groups and Categorical DataCompare several groups and analyse counts and tables.Advanced11 lessons79 graded exercisesabout 6 hoursFirst lesson free
  11. Experiments and A/B TestingDesign, analyse and decide from controlled experiments.Advanced14 lessons98 graded exercisesabout 8 hoursFirst lesson free
  12. Time Series and ForecastingDescribe, model and forecast data that change over time.Advanced11 lessons79 graded exercisesabout 6 hoursFirst lesson free
  13. Resampling and Statistical ReasoningSimulation-based inference and healthy scepticism.Advanced10 lessons78 graded exercisesabout 6 hoursFirst lesson free
  14. Practical Data AnalysisFrom a raw file to a defensible, reproducible analysis.Intermediate11 lessons87 graded exercisesabout 5 hoursFirst lesson free
  15. Applied Statistics for ProfessionalsStatistics as used in business, finance, HR, operations, marketing and research.Advanced12 lessons97 graded exercisesabout 7 hoursFirst lesson free
  16. Advanced FoundationsBayesian inference, multivariate methods and causal thinking.Advanced8 lessons63 graded exercisesabout 5 hoursFirst lesson free

Pathways

Role-oriented programmes that combine tracks, capstone projects and a final assessment, with a certificate of completion.

  • Statistical Foundations

    Statistical thinking, description, probability, distributions, sampling, estimation and hypothesis testing — the core of an introductory statistics course.

    8 tracks · 0 capstones

  • Business Data Analysis

    From messy data to a defensible recommendation: describing, visualising, testing, modelling and reporting on business data.

    7 tracks · 2 capstones

  • Experimentation and A/B Testing

    Designing, sizing, analysing and deciding from controlled experiments, with the traps that invalidate them.

    5 tracks · 1 capstone