Course · Interactive

Statistics with R

A comprehensive base-R statistics course — descriptive analysis, probability, confidence intervals, hypothesis tests, correlation, regression, and ANOVA across 30 self-paced lessons.

Who it's for

Learners comfortable with R syntax and data frames (R Foundations or equivalent). Standalone statistics course — teaches concepts and R together.

What you'll learn

  • Summarize and visualize data with base R
  • Understand probability, the normal model, and simulation
  • Construct confidence intervals and interpret p-values
  • Run t-tests, chi-square tests, correlation, regression, and ANOVA
  • Check assumptions with diagnostic tools

Course contents

  1. 01Getting Started — R for statistics, vectors, summaries
  2. 02Descriptive Statistics — center, spread, distributions
  3. 03Visualizing Data — histograms and boxplots
  4. 04Probability — distributions and random variables
  5. 05Sampling Distributions — sampling and the CLT
  6. 06Inference — confidence intervals and hypothesis tests
  7. 07Categorical Data — proportions and chi-square
  8. 08Relationships — correlation, regression, ANOVA
  9. 09Diagnostics & Practice — model checks and review