Cathy O'Neil

Rachel Schutt

A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering.

Doing Data Science

Gavin

The first third is: Talking About Data Science. But that's good; two careful, socially conscious techies talking is nice, and you would never get the dozens of handy heuristics in this from a usual STEM textbook. Crunchier than it looks - half the value is in the dull-looking, unannotated code samples at the end of each chapter, and isn't spelled out. Pedagogy! 

It is galling, then, that the data for chapters 6 and 8 has already link-rotted away. And half of the cool startups who came to talk to the class are dead and forgotten already. 

Only worth it if you can find the data.

[Thinking #1, Theory 5 #2]

Doing Data Science

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