A companion book for the Coursera Regression Models class
Book Description
The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in "Statistical inference for data science". The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations.
Book Details
- Title: Regression Models for Data Science in R
- Subtitle: A companion book for the Coursera Regression Models class
- Authors: Brian Caffo
- Publisher: Leanpub
- Paperback: 144 pages
- Publication date: 2019
- License: CC BY-NC-SA
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