Despite being familiar with most of the material here and agreeing that it is generally useful to know, I still don't know if I'd call this book "Foundations of Data Science". It feels more like "Assorted topics in algorithms, machine learning, and optimization": data science from the perspective of a computer scientist.

Notably missing are causal inference, experiment design, and many topics in statistics--causal inference being one of the primary things we'd want to do with data.