A book that every data scientist should read

I would like to suggest the book Factfulness (by Hans Rosling) to every data scientist and every student who wishes to start this career. It’s not a technical book full of formulas, algorithms, and other complex stuff. Only a few plots and a lot of analysis, ideas, comparisons. Everybody should be aware to live in a world where facts are often considered as alternatives to beliefs and where biases are so common to be the first problem to face when a clear insight is needed. Unfortunately, it’s easier to value a belief even more than a factual analysis and we all know what kind of disasters can be brought about. And, it’s even worse when a data scientist analyzes a bunch data starting from a biased viewpoint. Even if there are dozens of powerful models, some tasks require some moderation. Predicting the future of a time-series is a hard job unless […]