Data analytics (Record no. 45928)
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000 -LEADER | |
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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 |
No items available.