- Hardcover: 240 pages
- Publisher: McGraw-Hill Education; 1 edition (July 11, 2013)
- Language: English
- ISBN-10: 0071799664
- ISBN-13: 978-0071799669
- Product Dimensions: 6.6 x 0.9 x 8.4 inches
- Shipping Weight: 15.2 ounces (View shipping rates and policies)
- Average Customer Review: 24 customer reviews
- Amazon Best Sellers Rank: #940,566 in Books (See Top 100 in Books)
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Numbersense: How to Use Big Data to Your Advantage 1st Edition
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About the Author
KAISER FUNG is a professional statistician with over a decade of experience applying statistical methods to marketing and advertising businesses. He is an adjunct professor at New York University teaching practical statistics. He is the creator of the popular Junk Charts blog and the author of the acclaimed Numbers Rule Your World.
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I think this book, along with Nate Silver's, are required reading for those engaged in data analysis today.
The sad truth is that we know much less than we think - and we always will. Nothing is truly exempt from bias and error, and everything is the product of some initial assumptions; that's an obvious point, but it needs to be repeated.
Besides, the book is a fun read. Important and fun - who could ask for more?
From there it goes on to discuss such issues as context in which we look at numbers.. or data. To get good results you have to know the value of the data, ask the right questions, and test the answers for validity in findings.. summaries.
It is pointed out that trust, honesty, is not being practiced, and hasn't been for so long that the lies are now embedded in the very data bases we use moving forward.
Have you ever heard an expert speak with authority and because of the data felt you had no argument against their expert opinion? Yet common sense or that voice inside, was saying, "Hey, I know this just can't be true!" But you don't know how to frame your own opposing view against such overwhelming expertise.
This book really does cover some very key fundamentals to this argument, or question of why when it looks right, sounds right, it just isn't.
Worth the time and money, my opinion.. get the sample chapter, check it out for yourself. I give this book five stars. It speaks to questions in the topic of reliability of data I have not seen many willing to speak out about..
Eye Opener!!!! Can be for some of you... For those that have just felt uneasy but couldn't express it, didn't know how, this book may help you understand what it is your trying to find words to express.. Try it, my opinion only, Written in langauge that is not over your head.. You don't need to be a expert in mathematics to understand the discussion.
Is it bad? No. It's just not the sensation that Fung's previous book was.
I think it is suitable statisticians or analytics team members who dont know how to express the business impact of their output easily. It is quite a long book for a central theme though and I think I understand the key takeaways after 2-3 chapters.