In Statistics: The Art of Learning from Data, David Spiegelhalter responds to the growing interest in data science by guiding the reader through the basic statistical principles we need in order not be misled by the numbers. He introduces the fundamental topics in modern statistics – such as data visualization, bias, variability, data-analytics, probability models, discovery, Bayesian inference, and reproducibility – without unnecessary technical detail or equations. Drawing on a range of intriguing contemporary examples and studies, Spiegelhalter uses real world issues to highlight the best (and worst) ways to approach statistical problems.