Regression Models for Data Science in R

Course overview

This is a companion book to the Coursera Regression Models class as part of the Data Science Specialization

17 chapters
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The Book

Regression Models for Data Science in R17 chapters

Begin
  1. Preface

  2. Introduction

  3. Notation

  4. Ordinary least squares

  5. Regression to the mean

  6. Statistical linear regression models

  7. Residuals

  8. Regression inference

  9. Multivariable regression analysis

  10. Multivariable examples and tricks

  11. Residuals, variation, diagnostics

  12. Multiple variables and model selection

  13. Generalized Linear Models

  14. Binary GLMs

  15. Count data

  16. Bonus material

  17. Notes