This is cool, but how can you write a book about data science without mentioning causal inference or experimental design? Most people that do data science are n

This is cool, but how can you write a book about data science without mentioning causal inference or experimental design? Most people that do data science are not applying black box algorithms to clean data. They are actively manipulating and shaping the data, coming up with theories, and testing those theories. Inference is more important in theory and in practice for data scientists than theoretical models of graph formation and some of the other topics covered in this book.