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R for Business Analytics

2012-09-14 Business & Economics
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Release : 2012-09-14
Genre : Business & Economics
Kind : eBook
Book Rating : 423/5 ( reviews)

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Book Synopsis R for Business Analytics by : A Ohri

Download or read book R for Business Analytics written by A Ohri. This book was released on 2012-09-14. Available in PDF, EPUB and Kindle. Book excerpt: This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.

Business Analytics Using R - A Practical Approach

2016-12-27 Computers
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Release : 2016-12-27
Genre : Computers
Kind : eBook
Book Rating : 147/5 ( reviews)

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Book Synopsis Business Analytics Using R - A Practical Approach by : Umesh R Hodeghatta

Download or read book Business Analytics Using R - A Practical Approach written by Umesh R Hodeghatta. This book was released on 2016-12-27. Available in PDF, EPUB and Kindle. Book excerpt: Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. What You Will Learn • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem Who This Book Is For Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.

Data Mining and Business Analytics with R

2013-05-28 Mathematics
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Release : 2013-05-28
Genre : Mathematics
Kind : eBook
Book Rating : 157/5 ( reviews)

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Book Synopsis Data Mining and Business Analytics with R by : Johannes Ledolter

Download or read book Data Mining and Business Analytics with R written by Johannes Ledolter. This book was released on 2013-05-28. Available in PDF, EPUB and Kindle. Book excerpt: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

Customer and Business Analytics

2012-05-07 Business & Economics
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Release : 2012-05-07
Genre : Business & Economics
Kind : eBook
Book Rating : 98X/5 ( reviews)

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Book Synopsis Customer and Business Analytics by : Daniel S. Putler

Download or read book Customer and Business Analytics written by Daniel S. Putler. This book was released on 2012-05-07. Available in PDF, EPUB and Kindle. Book excerpt: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Business Analytics for Managers

2011-09-08 Business & Economics
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Release : 2011-09-08
Genre : Business & Economics
Kind : eBook
Book Rating : 061/5 ( reviews)

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Book Synopsis Business Analytics for Managers by : Wolfgang Jank

Download or read book Business Analytics for Managers written by Wolfgang Jank. This book was released on 2011-09-08. Available in PDF, EPUB and Kindle. Book excerpt: The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making. Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available. The main goals of this book are as follows: to excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes and provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.

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