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Getting Started with Data Science Making Sense of Data with Analytics [Paperback]

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  • Category: Books
  • Author:  Haider, Murtaza
  • Author:  Haider, Murtaza
  • ISBN-10:  0133991024
  • ISBN-10:  0133991024
  • ISBN-13:  9780133991024
  • ISBN-13:  9780133991024
  • Publisher:  IBM Press
  • Publisher:  IBM Press
  • Pages:  608
  • Pages:  608
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-2015
  • Pub Date:  01-Jun-2015
  • SKU:  0133991024-11-MPOD
  • SKU:  0133991024-11-MPOD
  • Item ID: 101407181
  • List Price: $39.99
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jan 20 to Jan 22
  • Notes: Brand New Book. Order Now.
Murtaza Haider, Ph.D., is an Associate Professor at the Ted Rogers School of Management, Ryerson University, and the Director of a consulting firm Regionomics Inc. He is also a visiting research fellow at the Munk School of Global Affairs at the University of Toronto (2014-15). In addition, he is a senior research affiliate with the Canadian Network for Research on Terrorism, Security, and Society, and an adjunct professor of engineering at McGill University.

Haider specializes in applying analytics and statistical methods to find solutions for socioeconomic challenges. His research interests include analytics; data science; housing market dynamics; infrastructure, transportation, and urban planning; and human development in North America and South Asia. He is an avid blogger/data journalist and writes weekly for theDawnnewspaper and occasionally for theHuffington Post.

Haider holds a Masters in transport engineering and planning and a Ph.D. in Urban Systems Analysis from the University of Toronto.

Preface     xix
Chapter 1  The Bazaar of Storytellers     1
Data Science: The Sexiest Job in the 21st Century     4
Storytelling at Google and Walmart     6
Getting Started with Data Science     8
    Do We Need Another Book on Analytics?    8
    Repeat, Repeat, Repeat, and Simplify     10
    Chapters’ Structure and Features     10
    Analytics Software Used     12
What Makes Someone a Data Scientist?    12
    Existential Angst of a Data Scientist     15
    Data Scientists: Rarer Than Unicorns     16
Beyond the Big Data Hype     17
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