The following give links to explanation of the code used in each of the chapters of Statistics for Data Science. Each chapter has a Rmarkdown (.Rmd) document that runs through the code from the chapter, as well as a compiled version of that code (.html)

All materials listed here are licensed for reuse under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

The datasets used in these lectures are made available by the instructor on the bcourses website for the class.

# Title Compiled Rmarkdown
– Intro to R and RStudio (Lab 0) html Jupyter link (UC Berkeley Only)
02 Data Distributions html Rmd
03 Comparing Groups and Hypothesis Testing html Rmd
04 Fitting curves to data html Rmd
05 Visualizing Multivariate Data html Rmd
06 Multiple Regression html Rmd
07 Logistic Regression html Rmd
08 Regression and Classification Trees html Rmd