Statistics Short Course

Make sense of data with statistics. Master statistics through bite-sized, swipeable learning tiles — designed for busy people who want to learn on the go.

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About This Statistics Course

This Statistics short course on SkillTiles breaks down everything you need to know into 10 structured milestones, each packed with bite-sized learning tiles you can swipe through in under 15 seconds each.

Whether you're a complete beginner or looking to refresh your knowledge, this online statistics course uses AI-powered content to adapt to your learning pace. Each tile delivers a focused concept, example, or quiz — making it perfect for commutes, coffee breaks, or quick study sessions.

Covering 70 key topics across 10 milestones, this course takes you from foundations to practical application. Earn badges as you complete each milestone and track your progress on your learning dashboard.

Course Curriculum

Stats Essentials

Probability, distributions, and hypothesis testing

probability basicsmean, median, modenormal distributionstandard deviationp-values simplifiedsample size and samplingcommon statistical mistakes

Descriptive Statistics

Summarize and describe data

mean, median, and modestandard deviation and variancedata distribution shapespercentiles and quartilesfrequency distributionsoutlier identificationdata visualization choices

Probability Basics

Understand chance and likelihood

probability rulesconditional probabilityBayes' theorem simplifiedindependence and dependenceexpected valueprobability distributionslaw of large numbers

Hypothesis Testing

Make decisions with data

null vs alternative hypothesisp-values explainedType I and Type II errorsz-tests and t-testsone-tailed vs two-tailedstatistical significanceeffect size importance

Regression Analysis

Model relationships between variables

simple linear regressioninterpreting coefficientsR-squared meaningresidual analysismultiple regression introassumptions checkingprediction vs explanation

Statistical Inference

Draw conclusions from samples

confidence intervalssample size determinationsampling methodscentral limit theoremmargin of errorpower analysisbootstrapping basics

Categorical Data Analysis

Analyze non-numerical data

chi-square testcontingency tablesFisher's exact testodds ratioslogistic regression introproportion testssurvey data analysis

Non-Parametric Methods

Statistics without normal distribution

when to use non-parametricMann-Whitney U testWilcoxon signed-rankKruskal-Wallis testSpearman correlationrank-based methodscomparing to parametric tests

Experimental Design

Design studies that produce valid results

randomized controlled trialsblocking and stratificationfactorial designsrepeated measuresA/B testing statisticsconfounding variablescausal inference basics

Applied Statistics

Statistics in real-world contexts

statistics in medicinebusiness analyticssports analytics basicsenvironmental statisticsstatistical software overview (R, Python, SPSS)communicating resultscommon statistical mistakes