Developing Analytic Talent
Becoming a Data Scientist
By Vincent Granville
Publisher: Wiley
Final Release Date: March 2014
Pages: 336


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

"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)

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(2 of 3 customers found this review helpful)


Not much to differentiate it

By Jay Pee

from Seattle, WA

About Me Developer

Comments about oreilly Developing Analytic Talent:

Can't really recommend this over any other book. The author seems to be very good at self-promotion, pushing his own methods and credentials. I don't know much about those methods myself, but that's not usually a good sign.

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Ebook:  $40.00
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