"Practical data science with R" is an original book, yet not a great one, and I would not recommend it. This book belongs to the trend of data science by practitioners. They promote themselves as material with a practical focus and accessible writing style. However, usually they fail at explaining the theory behind. This book suffers this malaise, it struggles to explain the principles and sometimes is even wrong about basic concepts in stats (for example, the explanation of heteroscedasticity). Not everything was terrible, it introduces R, version control, databases, a bit of visualization and some techniques that everyone doing data science should have on their toolbox. Definitely better than "Doing Data Science: Straight Talk from the Frontline", but not memorable at all.