What They're Saying

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.

A must-read resource for anyone who is serious about embracing the opportunity of big data.

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.

I would love it if everyone I had to work with had read this book.

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.

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.

A foundational piece in the fast developing world of Data Science. A must read for anyone interested in the Big Data revolution.

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.

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.

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!

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.

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!

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.

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.

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.

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.