Big data and social science : a practical guide to methods and tools
edited by Ian Foster University of Chicago Argonne National Laboratory, Rayid Ghani University of Chicago, Ron S. Jarmin U.S. Census Bureau, Frauke Kreuter University of Maryland University of Manheim Institute of Employment Research, Julia Lane New York University American Institutes for Research.
Boca Raton, FL : CRC Press Taylor & Francis Group, [2017] ©2017
"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." --
Physical items: 1, Online items: 0
Availability
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Location | Call number | Status |
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English Book (4/F) | 300.2856312 BIG 2017 | Due Date:2024-06-14 |
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Bibliographic Information
- Format:
- Book
- Subject:
- Social sciences > Data processing.
- Social sciences > Statistical methods.
- Data mining.
- Big data.
- Language:
- English
- ISBN:
- 9781498751407
- Course:
- GED111
Data and Society - Series:
- Statistics in the social and behavioral sciences series.
- Bibliography:
- Includes bibliographical references (pages 321-348) and index.
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