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Learn business analytics in six step...

Tripathi, Subhashini Sharma.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learn business analytics in six steps using SAS and R/ by Subhashini Sharma Tripathi.
其他題名:	a practical, step-by-step guide to learning business analytics /
作者:	Tripathi, Subhashini Sharma.
出版者:	Berkeley, CA :Apress : : 2016.,
面頁冊數:	xv, 219 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Business - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-1001-7
ISBN:	9781484210017$q(electronic bk.)

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 Ra practical, step-by-step guide to learning business analytics /[electronic resource] :by Subhashini Sharma Tripathi. - Berkeley, CA :Apress :2016. - xv, 219 p. :ill., digital ;24 cm.

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$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-1001-7doiSubjects--Topical Terms:

527441
Business
--Data processing.

LC Class. No.: HF5548.2

Dewey Class. No.: 650.0285

Learn business analytics in six steps using SAS and R = a practical, step-by-step guide to learning business analytics /
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520 $a 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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