R for Business Analytics PDF
By:A Ohri
Published on 2012-09-14 by Springer Science & Business Media
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein’s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.
This Book was ranked at 31 by Google Books for keyword Analytic.
Book ID of R for Business Analytics's Books is hQVGMXuK7RAC, Book which was written byA Ohrihave ETAG "M48kmQvKYoM"
Book which was published by Springer Science & Business Media since 2012-09-14 have ISBNs, ISBN 13 Code is 9781461443421 and ISBN 10 Code is 1461443423
Reading Mode in Text Status is false and Reading Mode in Image Status is true
Book which have "312 Pages" is Printed at BOOK under CategoryBUSINESS and ECONOMICS
Book was written in en
eBook Version Availability Status at PDF is falseand in ePub is false
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Download R for Business Analytics PDF
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