Working with Excel : refreshing math skills for management /

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Bibliographic Details
Author / Creator:Chaffe-Stengel, Priscilla M.
Edition:1st ed.
Imprint:[New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012.
Description:1 electronic text (x, 134 p.) : digital file.
Language:English
Series:Quantitative approaches to decision making collection, 2163-9582
2012 digital library.
Quantitative approaches to decision making collection.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/10321002
Hidden Bibliographic Details
Other authors / contributors:Stengel, Donald N.
ISBN:9781606492819 (electronic bk.)
9781606492802 (pbk.)
Notes:Part of: 2012 digital library.
Includes bibliographical references and index.
Access restricted to authorized users and institutions.
Also available in print.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
Title from PDF t.p. (viewed on January 5, 2013).
Summary:Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well in the electronic environment with raw data. Although some statistical and financial techniques for analyzing data are sophisticated and require specialized expertise, there are methods that are understandable by and applicable to anyone with basic algebra skills and the support of a spreadsheet package. While specialized software packages may be used in a particular business setting, Microsoft Excel is routinely available on computer desktops. Managers who have been in the field any length of time may not be sufficiently familiar with the capabilities of Excel to make optimal use of its functionalities. Prior to undertaking a program to pursue executive training, managers who are refreshed with basic algebra skills and the capabilities of Excel will be prepared to develop a richer understanding from their more advanced work.
Other form:Print version: 9781606492802
Standard no.:10.4128/9781606492819

MARC

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300 |a 1 electronic text (x, 134 p.) :  |b digital file. 
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500 |a Part of: 2012 digital library. 
504 |a Includes bibliographical references and index. 
505 0 |a Preface -- 1. Working with numbers and equations -- 2. Working with automated functions in Excel -- 3. Working with data -- 4. Working with mathematical models -- 5. Working with personal planning over time -- Notes -- Index. 
506 |a Access restricted to authorized users and institutions. 
520 3 |a Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well in the electronic environment with raw data. Although some statistical and financial techniques for analyzing data are sophisticated and require specialized expertise, there are methods that are understandable by and applicable to anyone with basic algebra skills and the support of a spreadsheet package. While specialized software packages may be used in a particular business setting, Microsoft Excel is routinely available on computer desktops. Managers who have been in the field any length of time may not be sufficiently familiar with the capabilities of Excel to make optimal use of its functionalities. Prior to undertaking a program to pursue executive training, managers who are refreshed with basic algebra skills and the capabilities of Excel will be prepared to develop a richer understanding from their more advanced work. 
530 |a Also available in print. 
538 |a Mode of access: World Wide Web. 
538 |a System requirements: Adobe Acrobat reader. 
588 |a Title from PDF t.p. (viewed on January 5, 2013). 
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