Working with Excel [electronic resource] : refreshing math skills for management / Priscilla Chaffe-Stengel and Donald N. Stengel.

By: Chaffe-Stengel, Priscilla MContributor(s): Stengel, Donald NMaterial type: TextTextSeries: 2012 digital library | Quantitative approaches to decision making collectionPublication details: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012Edition: 1st edDescription: 1 electronic text (x, 134 p.) : digital fileISBN: 9781606492819 (electronic bk.)Subject(s): Microsoft Excel (Computer file) | Business mathematics -- Computer programs | Microsoft Excel | refreshing math skills | business math | statistical analysis | financial analysis | mathematical modelingGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 005.369 LOC classification: HF5548.4.M523 | C428 2012Online resources: Click to View Also available in print.
Contents:
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.
Abstract: 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.
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Part of: 2012 digital library.

Includes bibliographical references and index.

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.

Access restricted to authorized users and institutions.

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.

Also available in print.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Title from PDF t.p. (viewed on January 5, 2013).

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