Media praise for Data Science for Business

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"A must-read resource for anyone who is serious about embracing the opportunity of big data."
-- Craig Vaughan, Global Vice President, SAP

"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, CEO Media6Degrees; Former Head of Google Search and Analytics

"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 ... 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

"The authors' deep applied experience makes this a must read-- a window into your competitor's strategy."
-- Alan Murray, Serial Entrepreneur; Partner Coriolis Ventures

"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 at Carmel Ventures

"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, Partner Architect at Microsoft Online Services Division

"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 of Data Mining and Knowledge Discovery Journal

"I would love it if everyone I had to work with had read this book."
-- Claudia Perlich, Chief Scientist of M6D (Media6Degrees) and Advertising Research Foundation Innovation Award Grand Winner (2013)

"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 at Teledyne Scientific and Imaging

"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 at Etsy

"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 at Coriolis Ventures

"One of the best data mining books, which 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 of FX at Royal Bank of Scotland

"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, amazon.com, MS Engineering (Computer Science)/MBA Information Technology 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" by 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, Data Science Report, Co-Founder / Director of Talent Acquisition at 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." Full Review >
-- Kiatikun Luangkesorn, lugerpitt.blogspot.com/search/label/programming

"If Readers want to know how to use data science support their business. This book is useful for them. Anyway Readers will find lots of examples and techniques in a book." Full Review >
-- Surachart Opun, surachartopun.com

"If you are a manager, it will be helpful to read and understand your techies. If you are a techie, you should this book to explain how you would be useful to business. ..." Full Review >
-- Dedunu Dhananjaya, www.dedunu.info

"If you work in analysis, IT, Business Intelligence, Management Reporting, Marketing or SEO, I guarantee your reaction at some point in reading this book will be 'I do that too'. " Full Review >
-- Chris Allen, chrisallennow.wordpress.com/