Data Analytics

By:

Maheshwari, Anil

Material type: Text

TextLanguage: English Publication details: New Delhi: McGraw Hill Education (India) Private Limited, 2017Description: 250ISBN:

9789352604180

Subject(s):

DDC classification:

006.312 MAH

Summary: This book fills the need for a concise and conversational book on the growing field of Data Analytics and Big Data. Easy to read and informative, this lucid book covers everything important, with concrete examples and invites the reader to join this field. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Students across a variety of academic disciplines, including business, computer science, statistics, engineering and others attracted to the idea of discovering new insights and ideas from data will enjoy this book.

List(s) this item appears in: New Arrivals for the Month of September - 2023

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Alliance College of Engineering and Design	CSE & IT	006.312 MAH (Browse shelf(Opens below))	Available		E12116
Donated Book	Alliance College of Engineering and Design	CSE & IT	006.312 MAH (Browse shelf(Opens below))	Available		ED01136
Book	Alliance School of Business		006.312 MAH (Browse shelf(Opens below))	Available		A25234
Book	Alliance School of Liberal Arts		006.312 MAH (Browse shelf(Opens below))	Checked out	18/01/2025	LA02189

Total holds: 0

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This book fills the need for a concise and conversational book on the growing field of Data Analytics and Big Data. Easy to read and informative, this lucid book covers everything important, with concrete examples and invites the reader to join this field. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Students across a variety of academic disciplines, including business, computer science, statistics, engineering and others attracted to the idea of discovering new insights and ideas from data will enjoy this book.

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