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Developing Analytic Talent: Becoming a Data Scientist by [Granville, Vincent]
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Developing Analytic Talent: Becoming a Data Scientist 1st Edition, Kindle Edition


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Length: 336 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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Product description

Review

"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)

Product Description

Learn what it takes to succeed in the the most in-demand tech job

Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code.

The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one.

  • Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms
  • Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists
  • Features job interview questions, sample resumes, salary surveys, and examples of job ads
  • Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations

Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.


Product details

  • Format: Kindle Edition
  • File Size: 3417 KB
  • Print Length: 336 pages
  • Publisher: Wiley; 1 edition (24 March 2014)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B00JDJ4SEI
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #382,039 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most helpful customer reviews on Amazon.com

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
Verified Purchase
158 people found this helpful.
Stijn Vanderlooy
1.0 out of 5 starsI suggest to avoid this book
25 April 2014 - Published on Amazon.com
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99 people found this helpful.
I Teach Typing
1.0 out of 5 starsWaste of time
26 April 2014 - Published on Amazon.com
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53 people found this helpful.
Jerry
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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36 people found this helpful.