Data Analytics
(Paperback)

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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. The chapters in the book are organized for a typical one-semester course. • Every chapter begins with insightful case-lets from real-world stories invigorating interest of reader. • Provides a running case study across the chapters as exercises. • Shows clear learning objectives, review questions, and objective type questions. • Covers end-to-end data processing chain, from generation of data to the consumption of data. • Covers data mining, web mining, text mining, social analytics, and more. • Provides easy tutorials for R Programming & Weka; Primers on Statistics, and Data Modeling included in the book. About the Author: Dr. Anil Maheshwari is a Professor of Management Information Systems and Director of Center for Data Analytics at Maharishi University of Management, Fairfield, Iowa, USA.He received a bachelor’s degree in Electrical Engineering from Indian Institute of Technology (IIT) Delhi, and further received his MBA degree from Indian Institute of Management (IIM) Ahmedabad. He earned his PhD from Case Western Reserve University, Cleveland, Ohio. He has been a Professor at the University of Cincinnati, City University of New York, among others.

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. The chapters in the book are organized for a typical one-semester course.

• Every chapter begins with insightful case-lets from real-world stories invigorating interest of reader
• Provides a running case study across the chapters as exercises
• Shows clear learning objectives, review questions and objective type questions
• Covers end-to-end data processing chain, from generation of data to the consumption of data
• Covers data mining, web mining, text mining, social analytics and more
• Provides easy tutorials for R Programming and Weka; Primers on Statistics and Data Modelling included in the book

AuthorAnil Maheshwari
BindingPaperback
EAN9789352604180
EditionFirst
ISBN9352604180
Height39 mm
Length945 mm
Width728 mm
Weight88 g
LanguageEnglish
Language TypePublished
Number Of Pages272
Package Quantity1
Product GroupBook
Publication Date2017-07-01
PublisherMcGraw Hill Education
StudioMcGraw Hill Education
Sales Rank13608

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General information about Data Analytics
  • The author associated with Data Analytics is Anil Maheshwari.
  • The EAN for Data Analytics is 9789352604180.
  • The edition for Data Analytics is First.
  • The ISBN for Data Analytics is 9352604180.
  • The height for Data Analytics is 39 mm.
  • The length for Data Analytics is 945 mm.
  • The width for Data Analytics is 728 mm.
  • The weight for Data Analytics is 88 g.
  • The language for Data Analytics is English.
  • The binding of Data Analytics is Paperback.
  • The number of pages for Data Analytics are 272.
  • The quantity for Data Analytics in a package is 1.
  • Data Analytics is grouped in Book group of products.
  • The publication date for Data Analytics is 2017-07-01.
  • The publisher for Data Analytics is McGraw Hill Education.
  • The producer for Data Analytics is McGraw Hill Education.
  • The sales rank for Data Analytics is 13608.