Big data and social science : data science methods and tools for research and practice / edited by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane.

Contributor(s):

Foster, Ian, 1959- [editor.]

Material type: Text

TextSeries: Chapman and Hall/CRC statistics in the social and behavioural sciencesPublisher: Boca Raton, FL : CRC Press, 2021Edition: Second editionDescription: pages cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780367568597
9780367341879

Subject(s):

Additional physical formats: Online version:: Big data and social scienceDDC classification:

300.285 23

LOC classification:

H61.3 .B55 2021

Summary: "This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner"-- Provided by publisher.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	General Collections	300.285 FOS (Browse shelf(Opens below))	C.1	Available		CamTech 000120

Includes bibliographical references and index.

"This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner"-- Provided by publisher.

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