About the Authors
What They're Saying
“A must-read resource for anyone who is serious about embracing the opportunity of big data.”
— Craig Vaughan
Global Vice President, SAP
“There is no other book on practical data science for business applications that simultaneously has as much authority and as much clarity. Students cannot stop raving about this book.”
— Prof. Sinan Aral
MIT Sloan School of Business
“The authors, both renowned experts in data science before it had a name, have taken a complex topic and made it accessible to all levels, but mostly helpful to the budding data scientist. As far as I know, this is the first book of its kind – with a focus on data science concepts as applied to practical business problems. It is liberally sprinkled with compelling real-world examples outlining familiar, accessible problems in the business world: customer churn, targeted marking, even whiskey analytics!
The book is unique in that it does not give a cookbook of algorithms, rather helps the reader understand the underlying concepts behind data science, and most importantly how to approach and be successful at problem solving. Whether you are looking for a good comprehensive overview of data science or are a budding data scientist in need of the basics, this is a must-read.”
— Chris Volinsky
Director, Statistics Research, AT&T Labs;
Winner of the $1Million Netflix Challenge
“This timely book says out loud what has finally become apparent: in the modern world, Data is Business, and you can no longer think business without 'thinking data.' Read this book and you will understand the Science behind thinking data.”
— Ron Bekkerman
Chief Data Officer, Carmel Ventures
“Data is the foundation of new waves of productivity growth, innovation, and richer customer insight. Only recently viewed broadly as a source of competitive advantage, dealing well with data is rapidly becoming table stakes to stay in the game. The authors' deep applied experience makes this a must read — a window into your competitor's strategy.”
— Alan Murray
Serial Entrepreneur, Partner Coriolis Ventures
"I would love it if everyone I had to work with had read this book."
— Claudia Perlich
Chief Scientist, Dstillery;
Advertising Research Foundation
Innovation Award Grand Winner, 2013
“Intelligent use of data has become a force powering business to new levels of competitiveness. To thrive in this data-driven ecosystem, engineers, analysts and managers alike must understand the options, design choices, and tradeoffs before them. With motivating examples, clear exposition and a breadth of details covering not only the "hows" but the "whys", Data Science for Business is the perfect primer for those wishing to become involved in the development and application of data-driven systems.”
— Josh Attenberg
Data Science Lead, Etsy
“This book goes beyond data analytics 101. It's the essential guide for those of us (all of us?) whose businesses are built on the ubiquity of data opportunities and the new mandate for data-driven decision-making.”
— Tom Phillips
Former Head of Google Search and Analytics
“A foundational piece in the fast developing world of Data Science. A must read for anyone interested in the Big Data revolution.”
— Justin Gapper
Business Unit Analytics Manager,
Teledyne Scientific and Imaging
“Provost and Fawcett have distilled their mastery of both the art and science of real-world data analysis into an unrivaled introduction to the field.”
— Geoff Webb
Editor-in-Chief, Data Mining and Knowledge Discovery Journal
"A great book for business managers who lead or interact with data scientists, who wish to better understand the principals and algorithms available without the technical details of single-disciplinary books."
— Ronny Kohavi
Microsoft Online Services Division
“One of the best data mining books. It helped me think through various ideas on liquidity analysis in the FX business. The examples are excellent and help you take a deep dive into the subject! This one is going to be on my shelf for lifetime!"
— Nidhi Kathuria
Vice President, FX,
Royal Bank of Scotland
"An excellent and accessible primer to help businessfolk better appreciate the concepts, tools and techniques employed by data scientists... and for data scientists to better appreciate the business context in which their solutions are deployed."
— Joe McCarthy
Director of Analytics and Data Science,
"In my opinion it is the best book on Data Science and Big Data for a professional understanding by business analysts and managers who must apply these techniques in the practical world."
— Ira Laefsky, MS Engineering (CS)/MBA IT
and Human Computer Interaction Researcher,
formerly on the Senior Consulting Staff of Arthur D. Little, Inc.
and Digital Equipment Corporation
"With motivating examples, clear exposition and a breadth of details covering not only the 'hows’ but the `whys,’ Data Science for Business is the perfect primer for those wishing to become involved in the development and application of data driven systems."
— Ted O'Brien
Co-Founder / Director of Talent Acquisition, Starbridge Partners,
and publisher of the Data Science Report
"What Provost and Fawcett have done is to write a book on data mining that focuses on the why of data mining technique, which is great complement to all the books that focus on the how of data mining."
— Kiatikun Luangkesorn