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I-Series: Microsoft Excel 2002, Introductory

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I-Series: Microsoft Excel 2002, Introductory (Paperback)

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Product Description

SERIES TAGLINE: THE HOW and WHY, PRACTICAL APPROACH TO LEARNING APPLICATIONS.

About the Author

Stephen Haag is the Associate Dean of Graduate Programs and Director of the MBA program in the Daniels College of Business at the University of Denver. Prior to being Associate Dean, Stephen served as Chair of the Department of Information Technology and Electronic Commerce in the Daniels College of Business at the University of Denver. Stephen holds a B.B.A. and M.B.A. from West Texas State University and a Ph.D. from the University of Texas at Arlington. Stephen has been teaching in the classroom since 1982 and publishing books since 1984.

Stephen is the coauthor of numerous books including "Interactions: Teaching English as a Second Language" (with his mother and father), "Information Technology: Tomorrow's Advantage Today" (with Peter Keen), "Excelling in Finance," and more than 40 books within the "I-Series." He has also written numberous articles appearing in such journals as Communications of the ACM, Soio-Economic Planning Siences, the International Journal of Systems Science, Managerial and Decision Economics, Applied Economics, and the Australian Journal of Management.

Product Details

Paperback: 552 pages
Publisher: Career Education; 1 edition (January 23, 2002)
Language: English
ISBN-10: 0072470321
ISBN-13: 978-0072470321
Product Dimensions: 10.8 x 8.5 x 0.7 inches
Shipping Weight: 2.4 pounds (View shipping rates and policies)

Average Customer Review: 3.0 out of 5 stars See all reviews (1 customer review)

Amazon.com Sales Rank: #1,506,803 in Books (See Bestsellers in Books)

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3.0 out of 5 stars A waste of time if you already work on Excel, February 10, 2008

By	Ruchik Sadavrati "New Accountant" (NYC, NY, USA) - See all my reviews (REAL NAME)

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I got this for the exam. But it is a waste of time to read it. If there is any other option, take it. But for the exam purpose, it will cover everything.

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