TY  - BOOK
AU  - Maheshwari, Anil
TI  - Data analytics
SN  - 9789355324559
U1  - 006.312 
PY  - 2023///
CY  - Chennai
PB  - McGraw Hill Education (India) Private Limited
KW  - Data analytics
N1  - Table of content:
Chapter 1: Wholeness of Data Analytics
Chapter 2: Business Intelligence Concepts and Applications
Chapter 3: Data Warehousing
Chapter 4: Data Mining
Chapter 5: Data Visualization
Chapter 6: Decision Trees
Chapter 7: Regression
Chapter 8: Artificial Neural Networks
Chapter 9: Cluster Analysis
Chapter 10: Association Rule Mining
Chapter 11: Text Mining
Chapter 12: Naïve Bayes Analysis
Chapter 13: Support Vector Machines
Chapter 14: Web Mining
Chapter 15: Social Network Analysis
Chapter 16: Big Data
Chapter 17: Artificial Intelligence Primer
Chapter 18: Data Ownership and Privacy
Chapter 19: Data Science Careers
Chapter 20: Data Wrangling and Dimensionality Reduction


Appendix A: Data Modeling and SQL
Appendix B: Statistical Tutorial
Appendix C: Main Points of the Book – A Summary
Appendix D: Data Analytics Sample Projects
Appendix P: Python Tutorial for Data Mining
Appendix R: R Tutorial for Data Mining
Appendix W: Weka Tutorial for Data Mining
Additional Resources
Index


[https://www.mheducation.co.in/data-analytics-9789355324559-india#tab-label-product-description-title]
N2  - 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.


Key Features
•  Application-oriented approach to Data Analytics
•  Coverage of topics such as Data Mining, Data Wrangling, and Artificial Intelligence
•  Integrated caselets
•  Running case exercise 
•  Tutorials on Data Analytics using Weka, R, and Python


(https://www.mheducation.co.in/data-analytics-9789355324559-india#tab-label-product-description-title)
ER  -