Big Data and Social Science : A Practical Guide to Methods and Tools Hardback
Edited by Ian (University of Chicago, Illinois, USA) Foster, Rayid (University of Chicago, Illinois, USA) Ghani, Ron S. (U.S. Census Bureau, USA) Jarmin, Frauke (University of Maryland, USA; University of Mannheim, Germany; and Institute for Emp Kreuter, Julia (New York University; American Institutes for Research, USA) Lane
Part of the Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences series
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice.
The book 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.
It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations.
For more information, including sample chapters and news, please visit the author's website.
- Format: Hardback
- Pages: 356 pages, this is a full color (figure + text) latex disk book.; 22 Tables, color; 60 Illustrations
- Publisher: Taylor & Francis Inc
- Publication Date: 21/07/2016
- Category: Social research & statistics
- ISBN: 9781498751407