Data analytics (Record no. 45928)

MARC details
000 -LEADER
fixed length control field 01995 a2200157 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355324559
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74 MAH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Maheshwari, Anil
245 ## - TITLE STATEMENT
Title Data analytics
250 ## - EDITION STATEMENT
Edition statement 2
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Chennai
Date of publication, distribution, etc 2023
Name of publisher, distributor, etc McGraw Hill Education (India) Private Limited
300 ## - PHYSICAL DESCRIPTION
Extent 317
520 ## - SUMMARY, ETC.
Summary, etc Data Analytics continues to be a sought-after discipline. This second edition of the popular textbook retains the concise and conversational style and extends the discussion in the first edition by including additional topics such as Data Privacy, Artificial Intelligence, and Data Wrangling. With insightful caselets in every chapter, review questions, objective-type questions, and a running case exercise, this book is designed to provide students with application-oriented knowledge of the subject.<br /><br />In addition, this book provides a solid toolset of major data mining platforms, with easy tutorials on data mining techniques using Python, R, and Weka. This edition also includes a sample data analytics student project, that uses all the data mining techniques to solve a real socially relevant problem. <br /><br />This book is designed to meet the requirements of students across a variety of academic disciplines. While primarily designed to meet the needs of students of Computer Science and Information Technology, this book will also serve the needs of students from other engineering disciplines as well as management stream. <br /><br />For the busy reader, this edition also contains main points from the book listed as a summary chapter encapsulating knowledge in just 50 main points.<br /><br /><br /><b>Key Features</b><br />• Application-oriented approach to Data Analytics<br />• Coverage of topics such as Data Mining, Data Wrangling, and Artificial Intelligence<br />• Integrated caselets<br />• Running case exercise <br />• Tutorials on Data Analytics using Weka, R, and Python
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative research
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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