Stanford Online: Statistical Learning with R

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.


What you’ll learn

  • Overview of statistical learning
  • Linear regression
  • Classification
  • Resampling methods
  • Linear model selection and regularization
  • Moving beyond linearity
  • Tree-based methods
  • Support vector machines
  • Deep learning
  • Survival modeling
  • Unsupervised learning
  • Multiple testing

What’s included

  • Category: