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R for Business Analytics
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Table of Contents

Why R.- R Infrastructure.- R Interfaces.- Manipulating Data.- Exploring Data.- Building Regression Models.- Data Mining using R.- Clustering and Data Segmentation.- Forecasting and Time-Series Models.- Data Export and Output.- Optimizing your R Coding.- Additional Training Literature.- Appendix.

About the Author

Ajay Ohri is the founder of analytics startup Decisionstats.com. He has pursued graduate studies at the University of Tennessee, Knoxville and the Indian Institute of Management, Lucknow. In addition, Ohri has a mechanical engineering degree from the Delhi College of Engineering. He has interviewed more than 100 practitioners in analytics, including leading members from all the analytics software vendors. Ohri has written almost 1300 articles on his blog, besides guest writing for influential analytics communities. He teaches courses in R through online education and has worked as an analytics consultant in India for the past decade. Ohri was one of the earliest independent analytics consultant in India, and his current research interests include spreading open source analytics, analyzing social media manipulation, simpler interfaces to cloud computing and unorthodox cryptography.

Reviews

From the book reviews:

"This book focuses on how to use R software for basic statistics in a business context. ... The use of GUIs in this book exposes the reader to some of the power of R for business planning and decision making in a user-friendly environment. ... The content of this book is light from a statistical point of view, but does serve to provide a nice overview of GUIs that are helpful for anyone doing business analytics in R." (Roger M. Sauter, Technometrics, Vol. 55 (3), August, 2013)

"I am enjoying reading this book. ... After reading this book I feel more confident about getting data into R. ... Each chapter has a summary at the end listing all the packages and functions used in the chapter. ... a very useful book on business analytics." (Cats and Dogs with Data, maryannedata.wordpress.com, August, 2013)

"If you are a beginner like me and want to learn everything about R and don't know where to begin, then this book will do you wonders. It has everything you need to get started. This book will be your companion and will not disappoint you." (The R Blabber, May, 2013)

"The book has something for both beginning R users (who may be experienced in data science, but want to start learning how to apply R towards their field), and experienced R users ... . the book has an extremely broad coverage of R's many packages that can be used towards business data analysis, with a very hands on approach that can help many new users quickly come up to speed and running on utilizing R's powerful capabilities." (Intelligent Trading Tech, October, 2012)

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