The dramatically titled Doing Data Science: Straight Talk from the Frontline by Cathy O’Neil and Rachel Schutt (disclaimer) reads much like someone reporting back on notes they took at conference, because that’s essentially what it is. The book largely consists of summaries of talks given as part of a Data Science class. I wish the distinction between the content of the talks and the author’s insertions of background information or teaching suggestions was clearer. I don’t see this book being a reference work for me, but it was nice to read through once to learn about how different people set about solving specific data problems.