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Learn business analytics in six steps using SAS and R : a practical, step-by-step guide to learning business analytics

Author: Subhashini Sharma Tripathi
Publisher: [United States] : Apress, New York, NY : Distributed to the Book trade worldwide by Springer 2016. ©2016
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Subhashini Sharma Tripathi
ISBN: 9781484210017 1484210018 1484210026 9781484210024
OCLC Number: 966445169
Notes: Includes index.
Description: 1 online resource
Contents: 1. The process of Analytics --
DCOVA and I --
2. Accessing SAS and R --
3 Data Manipulation using SAS and R --
Collect and Organising the data --
4. Discover basic information about data --
5. Visualisation --
6. Analyse --
Probability and Distributions --
7. Analyse- Sampling and Sampling Distributions --
8. Analyse- Confidence Intervals and sanctity of Analysis --
9. Insight Generation.
Responsibility: Subhashini Sharma Tripathi.

Abstract:

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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