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The accidental data scientist : big data applications and opportunities for librarians and information professionals / Amy L. Affelt; foreword by Thomas H. Davenport

By: Contributor(s): Material type: TextTextPublication details: Medford, N.J. : Information Today, Inc., c2015.Description: xvii, 222 p. : ill. ; 23 cmISBN:
  • 9781573875110
Subject(s): DDC classification:
  • 020.23
Online resources: Summary: Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents, thus "Big Data" is not a new concept for them though it is spawning new approaches along with a language all its own. InThe Accidental Data Scientist, Amy Affelt shows information professionals how to leverage their skills and training to master emerging tools, techniques, and vocabulary; create mission-critical Big Data research deliverables; and discover rewarding new career opportunities by embracing their inner Data Scientist.
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Holdings
Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 020.23 AF AC (Browse shelf(Opens below)) Available T0031745

Includes bibliographical references and index.

Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents, thus "Big Data" is not a new concept for them though it is spawning new approaches along with a language all its own. InThe Accidental Data Scientist, Amy Affelt shows information professionals how to leverage their skills and training to master emerging tools, techniques, and vocabulary; create mission-critical Big Data research deliverables; and discover rewarding new career opportunities by embracing their inner Data Scientist.

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