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Data Science for Business: What you need to know about data mining and data-analytic thinking Paperback – August 19, 2013

ISBN-13: 978-1449361327 ISBN-10: 1449361323 Edition: 1st

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Data Science for Business: What you need to know about data mining and data-analytic thinking + Data Smart: Using Data Science to Transform Information into Insight + Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
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Making Sense of Big Data
Check out this journal article about Data Science and Big Data (PDF).

Product Details

  • Paperback: 414 pages
  • Publisher: O'Reilly Media; 1 edition (August 19, 2013)
  • Language: English
  • ISBN-10: 1449361323
  • ISBN-13: 978-1449361327
  • Product Dimensions: 7 x 0.9 x 9.2 inches
  • Shipping Weight: 1.5 pounds (View shipping rates and policies)
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (103 customer reviews)
  • Amazon Best Sellers Rank: #3,542 in Books (See Top 100 in Books)

Editorial Reviews

Review

"A must-read resource for anyone who is serious about embracing the opportunity of big data."
-- Craig Vaughan
Global Vice President at 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 of Media6Degrees and Former Head of Google Search and Analytics


"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


"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 principles and algorithms available without the technical details of single-disciplinary books."
-- Ronny Kohavi
Partner Architect at Microsoft Online Services Division

Book Description

What you need to know about data mining and data-analytic thinking

Customer Reviews

In this book you could find all (or most) about the data science techniques.
Ilan
The book surprised me in covering a broader range of topics than I previously considered were Data Science.
Chris Allen
The book is intense so you will need to take a break in between or will lose the thread.
Big Data Paramedic

Most Helpful Customer Reviews

131 of 135 people found the following review helpful By m l on August 10, 2013
Format: Kindle Edition
When trying to learn about a new field, one of the most common difficulties is to find books (and other materials) that have the right "depth". All too often one ends up with either a friendly but largely useless book that oversimplifies or a heavy academic tome that, though authoritative and comprehensive, is condemned to sit gathering dust in one's shelves. "Data Science for Business" gets it just right.

What I mean might become clearer if I point out what this book is *not*:

- It is *not* a computer science textbook with a focus on theoretical derivations and algorithms.

- It is *not* a "cookbook" that provides "step-by-step" guidance with little to no explanation of what one is doing.

- It is *not* your standard "management" title on the cool tech du jour available at airport stands and meant to be read in one sitting (buzzwords, hype and overly enthusiastic statements making up for the dearth of actual content).

Instead, it is close to being the perfect guide for the intelligent reader who -- regardless of whether s/he has a tech background -- has a sincere desire to learn how the tools and principles of data science can be used to extract meaningful information from huge datasets. Highly recommended.
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55 of 58 people found the following review helpful By Big Data Paramedic TOP 500 REVIEWERVINE VOICE on November 11, 2013
Format: Paperback Vine Customer Review of Free Product ( What's this? )
At it's core, Data science is the elimination of guess, intuition,hunch and decisions backed by Data .

Data Science is ranked the Sexiest Job Of 21st Century by Harvard Business Review. Today there is a tremendous demand for everything "Data Science", Companies need "Data scientists", IT resources are refocusing themselves to be the "Data scientists". Contrary to popular beliefs that Marketing benefits a lot from data science, companies are finding benefits across the spectrum of their operations . Example : A leading Trucking company used Data mining skill to predict which part of the truck is going to break next instead of replacing it at specific intervals, a Leading insurer predicted those who will complete their antibiotic course based on their home ownership history. If this type of stories and scope interests you, read the book "Big Data: A Revolution That Will Transform How We Live, Work, and Think".

I am an aspiring "Data Scientist" and so this review will have a slight tilt from a "Data Scientist" perspective over the business user.

WHAT THIS BOOK IS ?
This book is very well written ,but not for the faint heart. It is a text book and authors have taken lot of care so general audience can also benefit from it, and also not to dilute it's textbook value. To get the full benefit of the book, read about 50 pages ( Do not flip pages), never more than 10 -15 pages per session. The book is intense so you will need to take a break in between or will lose the thread. Once you are finished with fifteen pages, go to the first page and read , highlight the important areas and then go to the next page. So plan to read this book in a span of 2 -3 months.
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32 of 32 people found the following review helpful By Rong Zheng on August 11, 2013
Format: Kindle Edition
This book tells you how to **think** from the angle of data when you make decisions. I have read so many data mining books. They often claim themselves practical simply because they provide examples in addition to the technical details. Well, this statement can be seriously misleading since no one is going to solve the same problem as the one in the book. Without a good explanation on the intuition underlying the technique, it is hard to make true links with examples and eventually even harder, if not possible, to extend what you read to what you need to solve in real applications.

This book does an excellent job in this perspective. All the fundamental DM ideas (although there are so many different DM algorithms, they are all variations of only a few fundamental ideas) are explained by almost plain words illustrating human's thinking process. You will feel all the DM methods are familiar even though you have never learned them because they are presented just as a codification of rational thinking in everyday life. Once the intuition is uncovered this well, the examples in the book look so natural and you get a way to start doing your own DM tasks.

It can be your first DM book or an insightful book worth revisiting from time to time. I, as a DM educator, enjoy reading the book and learn a lot not only the insights but also how to transmit DM knowledge effectively.

I love this book!
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34 of 36 people found the following review helpful By Joseph Berwind on August 9, 2013
Format: Kindle Edition
Excellent! Data Science for Business is an extremely well written practitioner's guide. The concepts and methodologies found inside ARE NOT EASY TO FIND in one comprehensive, comprehendible, and no-nonsense book. I received the book initially as part of my Master of Science in Business Analytics curriculum, and still, I purchased the eBook to have with me and use for my work. In fact, the principles and techniques covered in the book reshaped my understanding of big data business analytics and exactly how to do it and do it right.
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41 of 45 people found the following review helpful By Chris Allen on August 25, 2013
Format: Paperback
Foster Provost and Tom Fawcett have set out to write the go-to reference on Big Data. 'Data Science for Business', what you need to know about Data Mining and Data-Analytic Thinking, published by O'Reilly Media.

They have produced an authoritative book that is both a pathfinder and a lighthouse. It is a long, clearly-written book that shows what can be done using Big Data, where to go and what techniques to use to get it done, and what to watch out for.
Thank you for writing this book. The authors and their many references are already established and respected. The book brings the issues and their business applications together in one essential place. Already in just 1 month since release (25th July 2013) the eBook has gathered praise quotes from a dozen industry names. I am honoured to receive a complimentary review copy.
So to add to the recommendations, I pitch my review slightly differently: Who in business should buy this book? What does this book add to what we are already doing in business with Data and Data Mining?

On first reading, if you work in analysis, IT, Business Intelligence, Management Reporting, Marketing or SEO, I guarantee your reaction at some point will be 'I do that too'.

For me the 'Aha!' realisation came a few pages into chapter 2. The authors discuss database searches for the most profitable items in a business. All businesses do that every day! But not always in the way the academics think.
The book surprised me in covering a broader range of topics than I previously considered were Data Science. Here are some great success stories to illustrate what data science is. Buy the book to see how these things really work and how the leading companies are applying themselves to these challenges.
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