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Developing Analytic Talent: Becoming a Data Scientist Paperback – 1 Dec 2014

ISBN-13: 978-1118810088 ISBN-10: 1118810082 Edition: 1st

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Product details

  • Paperback: 336 pages
  • Publisher: John Wiley & Sons Inc; 1 edition (1 December 2014)
  • Language: English
  • ISBN-10: 1118810082
  • ISBN-13: 978-1118810088
  • Product Dimensions: 18.5 x 2.3 x 22.9 cm
  • Boxed-product Weight: 558 g
  • Average Customer Review: Be the first to review this item

Product description


"I strongly recommend this book for readers whose background is related to data science, statistics, information technology and management, computer science, business analytics, and so on." (Online Information Review, May 2015)

From the Back Cover

The definitive job search and preparation guide for data scientists

Data science is one of the hottest disciplines in IT, but much of the talk is just hype. The aspiring data scientist requires a resource that covers the important topics comprehensively and avoids the hype and buzzwords surrounding data science and big data. This book will show you exactly what data science is, how it differs from computer science, how to extract value from data and, most importantly, how to develop your data science skills to obtain employment.

  • Source code, data sets, and a dictionary for review
  • Sample resumes, salary surveys, and sample job ads for data scientists
  • Detail into what companies are looking for in a data scientist
  • Authoritative analysis of the big data and analytics industry
  • Real-world job interview questions for a competitive advantage
  • Cases studies for understanding analytics in practice
  • Data science tricks, recipes, and rules of thumb

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Amazon.com: 2.0 out of 5 stars 43 reviews
J. Chang
3.0 out of 5 starsMessy stream of consciousness writing style handicaped the usefulness to its intended audiences
12 April 2014 - Published on Amazon.com
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158 people found this helpful.
Stijn Vanderlooy
1.0 out of 5 starsI suggest to avoid this book
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I Teach Typing
1.0 out of 5 starsWaste of time
26 April 2014 - Published on Amazon.com
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54 people found this helpful.
2.0 out of 5 starsThis is a book written by BIG data scientist, for BIG data scientists.
18 May 2014 - Published on Amazon.com
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37 people found this helpful.