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Big Data and Social Science: A Practical Guide to Methods and Tools

Author(s) Name:  Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane

About the Book:

   The book shows how to apply data science to real-world problems in both research and the practice. It provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation.
   The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools.

Table of Contents

  • Introduction
  • Working with Web Data and APIs
  • Record Linkage
  • Databases
  • Programming with Big Data
  • Machine Learning
  • Text Analysis
  • Networks: The Basics
  • Information Visualization
  • Errors and Inference
  • Privacy and Confidentiality
  • Workbooks
  • ISBN:  9781498751407

    Publisher:  Chapman and Hall/CRC

    Year of Publication:  2016

    Book Link:  Home Page Url