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A hands-on introduction to data science / Chirag Shah, Rutgers University, New Jersey.

By: Material type: TextTextPublisher: Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, c2020Description: xxiii, 433p. ; col. ill. , 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781108472449
Subject(s): Additional physical formats: Online version:: A hands-on introduction to data scienceDDC classification:
  • 004 23 SHA
LOC classification:
  • QA76 .S469 2020
Summary: "This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books Main Library Reference Non-fiction 004 SHA (Browse shelf(Opens below)) Available MUL24090004
Books Books Main Library Reference Non-fiction 004 SHA (Browse shelf(Opens below)) Available MUL24090005
Books Books Main Library Reference Non-fiction 004 SHA (Browse shelf(Opens below)) Available MUL24090006

Includes bibliographical references and index.

"This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science"-- Provided by publisher.

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