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" Big data and social science : "
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
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BL
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| Record Number
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644827
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| Doc. No
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dltt
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| Title & Author
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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
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| Series Statement
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Chapman & Hall/CRC statistics in the social and behavioral sciences series
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xix, 356 pages :: illustrations ;; 24 cm
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| ISBN
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9781498751407 (alk. paper)
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: 1498751407 (alk. paper)
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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Note continued:
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Machine generated contents note:
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| Abstract
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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. --
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| Subject
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Social sciences-- Data processing.
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Social sciences-- Statistical methods.
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Data mining.
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Big data.
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| LC Classification
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H61.3.B55 2017
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H61.3.B55 2017
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| Added Entry
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Foster, Ian,1959-
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