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Learn Business Analytics in Six Step...
~
Tripathi, Subhashini Sharma.
Learn Business Analytics in Six Steps Using SAS and R = A Practical, Step-by-Step Guide to Learning Business Analytics /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Learn Business Analytics in Six Steps Using SAS and R/ by Subhashini Sharma Tripathi.
Reminder of title:
A Practical, Step-by-Step Guide to Learning Business Analytics /
Author:
Tripathi, Subhashini Sharma.
Description:
XV, 219 p. 156 illus., 131 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Big data. -
Online resource:
https://doi.org/10.1007/978-1-4842-1001-7
ISBN:
9781484210017
Learn Business Analytics in Six Steps Using SAS and R = A Practical, Step-by-Step Guide to Learning Business Analytics /
Tripathi, Subhashini Sharma.
Learn Business Analytics in Six Steps Using SAS and R
A Practical, Step-by-Step Guide to Learning Business Analytics /[electronic resource] :by Subhashini Sharma Tripathi. - 1st ed. 2016. - XV, 219 p. 156 illus., 131 illus. in color.online resource.
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.
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.
ISBN: 9781484210017
Standard No.: 10.1007/978-1-4842-1001-7doiSubjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Learn Business Analytics in Six Steps Using SAS and R = A Practical, Step-by-Step Guide to Learning Business Analytics /
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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.
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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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