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Data Analytics Made Accessible, by Anil Maheshwari
PDF Download Data Analytics Made Accessible, by Anil Maheshwari
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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. The chapters in the book are organized for a typical one-semester course. The book contains case-lets from real-world stories at the beginning of every chapter. There is also a running case study across the chapters as exercises. 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. Finally, it includes a tutorial for R platform.
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 can use this as a textbook. Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others can use this book to learn in a few hours how to make sense of and develop actionable insights from the enormous data coming their way. This is a flowing book that one can finish in one sitting, or one can return to it again and again for insights and techniques.
Table of Contents
Chapter 1: Wholeness of Data Analytics
Chapter 2: Business Intelligence Concepts & Applications
Chapter 3: Data Warehousing
Chapter 4: Data Mining
Chapter 5: Data Visualization
Chapter 6: Decision Trees
Chapter 7: Regression Models
Chapter 8: Artificial Neural Networks
Chapter 9: Cluster Analysis
Chapter 10: Association Rule Mining
Chapter 11: Text Mining
Chapter 12: Web Mining
Chapter 13: Social Network Analysis
Chapter 14: Big Data
Chapter 15: Data Modeling Primer
Appendix: Data Mining Tutorial using R
- Sales Rank: #7010 in eBooks
- Published on: 2014-05-01
- Released on: 2014-05-01
- Format: Kindle eBook
Most helpful customer reviews
12 of 13 people found the following review helpful.
This book is highly recommended
By Dr. Edi Shivaji
This book is a splendid and valuable addition to this subject. The whole document is well written and I have no hesitation to recommend that this can be adapted as a text book for graduate courses in BIDM. The students will find it easy to read and follow, The style is lucid and explains the concepts and wholeness without going into any complicated maths.
The author has taken immense pains to keep the writing style simple and easy to follow. This book develops the intuition and generates an interest among the students in this field. Even a casual reader of the book will be left with a keen desire to learn more because this book nicely and clearly brings out the practical benefits. The Case exercises are very good and nicely planned. The book is very reasonably priced.
8 of 8 people found the following review helpful.
I have studied data mining for six month in my undergraduate study but couldn't grasp the detail knowledge about data mining
By Tek Nath Pokhrel
I have studied data mining for six month in my undergraduate study but couldn't grasp the detail knowledge about data mining and data warehousing. I found the clear understanding about data mining and business intelligence within 10 days from the Business Intelligence & Data Mining book written by Dr. Anil Maheshwari. Along with the fort understanding, I became able to do project in data mining and business intelligence with using different data mining techniques and tools. I found the material very sweet and short and written with simple language. If one want to learn the data mining and business intelligence s/he can take advantage from this book. I appreciate and thank from inner core of heart to Dr. Maheshwari for his great job.
13 of 16 people found the following review helpful.
Deceptively simple, then it hits you, bang!
By Charmaine Oak
Dr. Anil Maheshwari has done a great job in taking a complex, highly important subject area and making it accessible to everyone.
The book begins by simply connecting to what you know, and then bang - you've suddenly found out about Decision Trees, Regression Models and Artificial Neural Networks, not to mention cluster analysis, mining and Big Data.
It takes real experience and authority, as well as a great generosity of spirit to be able to write like this. For instance in Chapter 12 on Big Data, Dr. Maheshwari presents "The Big Data Landscape" that gives you a great overview on a single page.
I also much appreciated the way the Primer sections are made available, for beginners, and there is also a way for more advanced readers to get to stuff that is useful to take them to the next level.
And by the way, this was one of the easiest to read books that I have on my Kindle. I often feel the need to print out books, but this one flows magnificently so you just get it.
I kept putting off reading it for some time, but in the end it only took a few hours, though I know it's there for me when I return again to re-examine and contemplate the "Caselets", adapting them to my own specific area of expertise.
I highly recommend this book as a great introduction to what is one of the most important areas for managers across all functional areas. It's the kind of book that will stay evergreen, and I hope to see more titles to follow.
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