Introduction to business analytics / Majid Nabavi and David L. Olson.

By:

Nabavi, Majid []

Contributor(s):

Olson, David L, 1944- []

Material type: Text

TextSeries: Big data and business analytics collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2019.]Edition: First editionDescription: 1 online resource (169 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781949443288

Subject(s):

Genre/Form:

[genre]

Additional physical formats: Print version:: No titleLOC classification:

HD30.215

Online resources:

Click here to access online

Available additional physical forms:

Contents:

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.

Abstract: 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.

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Holdings
Item type	Current library	Collection	Call number	URL	Status	Date due	Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD)	G. Allen Fleece Library ONLINE		HD30.215 (Browse shelf(Opens below))	Link to resource	Available		BEP9781949443288
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD)	G. Allen Fleece Library	Non-fiction	HD30.215 (Browse shelf(Opens below))	Link to resource	Available		9781949443288

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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.

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