Getting Started with Data Science: Making Sense of Data with Analytics, 1st edition

Published by IBM Press (December 14, 2015) © 2016

  • Murtaza Haider
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  • A print text
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  • Also available for purchase as an ebook from all major ebook resellers, including InformIT.com

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Title overview

Getting Started with Data Science takes its approach from worldwide best-sellers like Freakonomics and the books of Malcolm Gladwell: it teaches through a powerful narrative packed with unforgettable stories. The book covers basic theory and technique, backed with plenty of clear, jargon-free examples and practice opportunities. Everything's software and platform independent, so students can learn what they need whether they work with R, Stata, SPSS, SAS, or another toolset.

Table of contents

  • Chapter 1  The Bazaar of Storytellers    
  • Chapter 2  Data in the 24/7 Connected World   
  • Chapter 3  The Deliverable    
  • Chapter 4  Serving Tables   
  • Chapter 5  Graphic Details   
  • Chapter 6  Hypothetically Speaking      
  • Chapter 7  Why Tall Parents Don’t Have Even Taller Children        
  • Chapter 8  To Be or Not to Be    
  • Chapter 9  Categorically Speaking About Categorical Data       
  • Chapter 10  Spatial Data Analytics    
  • Chapter 11  Doing Serious Time with Time Series 
  • Chapter 12  Data Mining for Gold     
  • Index  

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