Analytics boot camp : basic analytics for business students and professionals /

Analytics boot camp : basic analytics for business students and professionals /

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Bibliographic Details
Author / Creator:	Herkenhoff, Linda, author.
Edition:	First edition.
Imprint:	New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2017.
Description:	1 online resource (x, 154 pages) : illustrations.
Language:	English
Series:	Big data and business analytics collection, 2333-6757 Big data and business analytics collection.
Subject:	Microsoft Excel (Computer file) Microsoft Excel (Computer file) Commercial statistics -- Data processing. Commercial statistics -- Data processing. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11386284

Hidden Bibliographic Details
Other authors / contributors:	Fogli, John, author.
ISBN:	9781631574863 9781631574856
Notes:	Includes index. Access restricted to authorized users and institutions. Also available in print. System requirements: Adobe Acrobat reader. Title from PDF title page (viewed on June 10, 2017).
Summary:	This book was written for those who want basic understanding of how to use analytics in the business world without all the details of statistical theory. The focus is on providing clear word descriptions and step-by-step Excel instructions, rather than including lots of x's and y's everywhere. We have specifically avoided including a lot of technical information. This book was written for the managers and students who may need a quick refresher on how to complete Excel analysis without having to read pages of technical explanations. We have aimed at concisely defining the key concepts and providing simple descriptions and explanations on how to use them.
Other form:	Print version: 9781631574856

Description
Summary:	The focus of this book is on providing clear word descriptions and step-by-step Excel instructions, rather than including lots of x's and y's everywhere. This book was written for managers and students who may need a quick refresher on how to complete Excel analysis without having to read pages of technical explanations. The authors aimed at concisely defining the key concepts and providing simple descriptions and explanations on how to use them.
Item Description:	Includes index.
Physical Description:	1 online resource (x, 154 pages) : illustrations.
Format:	System requirements: Adobe Acrobat reader.
ISBN:	9781631574863 9781631574856
ISSN:	2333-6757
Access:	Access restricted to authorized users and institutions.