Introduction to business analytics:

1. Business analytics -- 2. Visualization -- 3. Sampling -- 4. Hypothesis testing -- 5. Linear regression -- 6. Multiple regression -- 7. Logistic regression -- 8. Linear programming -- 9. Business analytic modeling tools -- References -- About the author-- Index

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Bibliographic Details
Main Authors: Nabavi, Majid (Author), Olson, David L. 1944- (Author)
Format: Electronic eBook
Language:English
Published: New York, New York (222 East 46th Street, New York, NY 10017) Business Expert Press 2019
Edition:First edition
Series:Big data and business analytics collection
Subjects:
Online Access:FHN01
UBY01
Volltext
Summary:1. Business analytics -- 2. Visualization -- 3. Sampling -- 4. Hypothesis testing -- 5. Linear regression -- 6. Multiple regression -- 7. Logistic regression -- 8. Linear programming -- 9. Business analytic modeling tools -- References -- About the author-- Index
This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts
Item Description:Includes bibliographical references (page [163]) and index
Physical Description:1 Online-Ressource (169 pages)
ISBN:9781949443288
9781949443271

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