Learn business analytics in six steps using SAS and R : a practical, step-by-step guide to learning business analytics / Subhashini Sharma Tripathi.
Material type:
TextLanguage: English Publisher: Apress, New York, NY : Distributed to the Book trade worldwide by Springer 2016. ©2016Description: xv, 219 pages : illustrations ; 25 cmISBN: 9781484210024Subject(s): Business -- Data processing | SAS (Computer program language) | R (Computer program language) | Information visualization | Business -- Data processing | Information visualization | R (Computer program language) | SAS (Computer program language)DDC classification: 650.0285 | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | Institute of Public Enterprise, Library S Campus | 650.0285 TRI (Browse shelf) | Available | 45243 | |
| Books | Institute of Public Enterprise, Library S Campus | 650.0285 TRI (Browse shelf) | Available | 45244 |
Includes index.
The process of analytics -- Accessing SAS and R -- Data manipulation using SAS and R -- Discover basic information about data using SAS and R -- Visualization -- Probability using SAS and R -- Samples and sampling distributions using SAS and R -- Confidence intervals and sanctity of analysis using SAS and R -- Insight generation.
Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and execute projects through the "DCOVA and I" (Define, Collect, Organize, Visualize, Analyze, and Insights) process. You no longer need to choose between the two most popular software tools. This book puts the best of both worlds--SAS and R--at your fingertips to solve a myriad of problems, whether relating to data science, finance, web usage, product development, or any other business discipline. You will: Use the DCOVA and I process: Define, Collect, Organize, Visualize, Analyze and Insights. Harness both SAS and R, the star analytics technologies in the industry Use various tools to solve significant business challenges Understand how the tools relate to business analytics See seven case studies for hands-on practice.
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