Introduction to Regression Analysis

A comprehensive introduction to regression analysis and statistical learning. This course covers foundational concepts like statistical learning principles, simple and multiple linear regression, classification methods, model validation techniques, and extensions beyond linearity. Designed for intermediate learners with basic statistics knowledge and R experience, featuring hands-on labs with real-world datasets.

  • Level: intermediate
  • Duration: 12 weeks
  • 11 sections
  • Price: Free

Topics: Regression Analysis, Statistical Learning, Linear Models, Classification, Model Validation, Supervised Learning

What's inside

  1. Introduction to Regression Analysis
  2. Chapter 1: Introduction
  3. Chapter 2: Statistical Learning
  4. Chapter 3: Linear Regression
  5. Chapter 4: Classification
  6. Chapter 5: Resampling Methods
  7. Chapter 6: Linear Model Selection and Regularization
  8. Chapter 7: Moving Beyond Linearity
  9. Chapter 8: Diagnosis of the Regression Model
  10. Chapter 9: Advanced Topics in Regression Analysis
  11. Chapter 10: Conclusion and Future Directions

Read a free sample chapter