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Data Analytics | By Anil Maheshwari | 2nd Edition | McGraw Hill Publication (English Medium)
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Data Analytics | By Anil Maheshwari | 2nd Edition | McGraw Hill Publication (English Medium).
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.
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.
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.
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.
Salient Features:
1. Application-oriented approach to Data Analytics
2. Coverage of topics such as Data Mining, Data Wrangling, and Artificial Intelligence
3. Integrated caselets
4. Running case exercise
5. Tutorials on Data Analytics using Weka, R, and Python.
About the Author
Anil K. Maheshwari, Ph.D. is a Professor of Management and Information Systems at Maharishi International University (MIU), in Fairfield, Iowa, USA. He teaches courses in data analytics, among others. He has published 16 books, 40 research papers, and book chapters, and has made 40 conference presentations. His book Data Analytics Made Accessible has been consistently #1 recommended book globally. He is a listed member of Who’s Who in America. He has 20 years of IT industry experience, including 9 years in leadership roles at IBM. He also has 20 years of academic experience as a Professor at MIU, the University of Cincinnati, City University of New York, University of Illinois, and others. He earned a B.Tech. in Electrical Engineering from Indian Institute of Technology in Delhi, an MBA from Indian Institute of Management in Ahmedabad, and a Ph.D. in Management from Case Western Reserve University, Cleveland, Ohio.
Search Key - Anil Maheshwari Data Analytics 2nd Edition, Data Analytics book by Anil Maheshwari, McGraw Hill Data Analytics 2nd Edition, Data Analytics textbook 2nd Edition, Data Analytics Anil Maheshwari review, Data Analytics Anil Maheshwari summary, Data Analytics Anil Maheshwari table of contents, Data Analytics Anil Maheshwari tutorials, Data Analytics Anil Maheshwari Python R Weka, Data Analytics Anil Maheshwari sample project, Data Analytics Anil Maheshwari case studies, Data Analytics Anil Maheshwari learning objectives, Data Analytics Anil Maheshwari review questions, Data Analytics Anil Maheshwari objective questions, Data Analytics Anil Maheshwari data mining, Data Analytics Anil Maheshwari data visualization, Data Analytics Anil Maheshwari decision trees, Data Analytics Anil Maheshwari regression, Data Analytics Anil Maheshwari neural networks, Data Analytics Anil Maheshwari cluster analysis, Data Analytics Anil Maheshwari association rule mining, Data Analytics Anil Maheshwari text mining, Data Analytics Anil Maheshwari naïve Bayes analysis, Data Analytics Anil Maheshwari support vector machines, Data Analytics Anil Maheshwari web mining, Data Analytics Anil Maheshwari social network analysis, Data Analytics Anil Maheshwari big data, Data Analytics Anil Maheshwari artificial intelligence, Data Analytics Anil Maheshwari data ownership privacy, Data Analytics Anil Maheshwari data science careers Publisher : McGraw Hill; Standard Edition (12 June 2023); McGraw Hill Education (India) Private Limited, Candor TechSpace, 8th Floor, Tower No 5, Plot No 2, Block B,Sector 62, Noida, Uttar Pradesh - 201309; 18001035875, Language : English, Paperback : 344 pages, ISBN-10 : 9355324553, ISBN-13 : 978-9355324559.
SKU / BOOK Code: | Mgh-Data-Analytics-(E) |
Publisher: | McGraw Hill Publication |
Author: | Anil Maheshwari |
Binding Type: | Paperback |
No. of Pages: | 344 |
ISBN-10: | 9355324553 |
ISBN-13: | 978-9355324559 |
Edition: | 2nd Edition |
Language: | English Medium |
Publish Year: | 2025-01 |
Weight (g): | 2200 |
Product Condition: | New |
Reading Age: | Above 10 Years |
Country of Origin: | India |
Genre: | Books |
Manufacturer: | McGraw Hill Publication |
Importer: | Not Applicable |
Packer: | Fullfilled by Supplier |
Data Analytics | By Anil Maheshwari | 2nd Edition | McGraw Hill Publication (English Medium).
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.
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.
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.
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.
Salient Features:
1. Application-oriented approach to Data Analytics
2. Coverage of topics such as Data Mining, Data Wrangling, and Artificial Intelligence
3. Integrated caselets
4. Running case exercise
5. Tutorials on Data Analytics using Weka, R, and Python.
About the Author
Anil K. Maheshwari, Ph.D. is a Professor of Management and Information Systems at Maharishi International University (MIU), in Fairfield, Iowa, USA. He teaches courses in data analytics, among others. He has published 16 books, 40 research papers, and book chapters, and has made 40 conference presentations. His book Data Analytics Made Accessible has been consistently #1 recommended book globally. He is a listed member of Who’s Who in America. He has 20 years of IT industry experience, including 9 years in leadership roles at IBM. He also has 20 years of academic experience as a Professor at MIU, the University of Cincinnati, City University of New York, University of Illinois, and others. He earned a B.Tech. in Electrical Engineering from Indian Institute of Technology in Delhi, an MBA from Indian Institute of Management in Ahmedabad, and a Ph.D. in Management from Case Western Reserve University, Cleveland, Ohio.
Search Key - Anil Maheshwari Data Analytics 2nd Edition, Data Analytics book by Anil Maheshwari, McGraw Hill Data Analytics 2nd Edition, Data Analytics textbook 2nd Edition, Data Analytics Anil Maheshwari review, Data Analytics Anil Maheshwari summary, Data Analytics Anil Maheshwari table of contents, Data Analytics Anil Maheshwari tutorials, Data Analytics Anil Maheshwari Python R Weka, Data Analytics Anil Maheshwari sample project, Data Analytics Anil Maheshwari case studies, Data Analytics Anil Maheshwari learning objectives, Data Analytics Anil Maheshwari review questions, Data Analytics Anil Maheshwari objective questions, Data Analytics Anil Maheshwari data mining, Data Analytics Anil Maheshwari data visualization, Data Analytics Anil Maheshwari decision trees, Data Analytics Anil Maheshwari regression, Data Analytics Anil Maheshwari neural networks, Data Analytics Anil Maheshwari cluster analysis, Data Analytics Anil Maheshwari association rule mining, Data Analytics Anil Maheshwari text mining, Data Analytics Anil Maheshwari naïve Bayes analysis, Data Analytics Anil Maheshwari support vector machines, Data Analytics Anil Maheshwari web mining, Data Analytics Anil Maheshwari social network analysis, Data Analytics Anil Maheshwari big data, Data Analytics Anil Maheshwari artificial intelligence, Data Analytics Anil Maheshwari data ownership privacy, Data Analytics Anil Maheshwari data science careers Publisher : McGraw Hill; Standard Edition (12 June 2023); McGraw Hill Education (India) Private Limited, Candor TechSpace, 8th Floor, Tower No 5, Plot No 2, Block B,Sector 62, Noida, Uttar Pradesh - 201309; 18001035875, Language : English, Paperback : 344 pages, ISBN-10 : 9355324553, ISBN-13 : 978-9355324559.
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