Data Science Without Makeup

by Mikhail Zhilkin

Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players’ physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and business intelligence. Why data science is hard, what pitfalls analysts and decision-makers fall into, and what everyone involved can do to give themselves a fighting chance―the book examines these and other questions with the skepticism of someone who has seen the sausage being made. Honest and direct, full of examples from real life, Data Science Without A Guidebook for End-Users, Analysts and Managers will be of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data―from students to professional researchers and from early-career to seasoned professionals. Mikhail Zhilkin is a data scientist at Arsenal FC. He has previously worked on the popular Candy Crush mobile games and in sports betting.

194 pages, Hardcover

Published November 2, 2021

Reviews

[Diego · Rating 4 out of 5]

Reading the book felt like a flashback to books I read during my time at the university patched with drops of data science's specific info. The best parts are, without a doubt, the anecdotes and the undistilled flow of truths that no one dares to express out loud.

[Louis Porter · Rating 5 out of 5]

Fantastic and informative read from an author who is incredibly experienced in the data science space.