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Microsoft Access 2007 Data Analysis

Microsoft Access 2007 Data Analysis

Microsoft Access 2007 Data Analysis
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Microsoft Access 2007 Data Analysis Paperback - 2007 - 1st Edition

by Alexander, Michael

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Wiley & Sons, Incorporated, John. Used - Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Microsoft Access 2007 Data Analysis
  • Author Alexander, Michael
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 519
  • Volumes 1
  • Language ENG
  • Publisher Wiley & Sons, Incorporated, John, USA
  • Publication date March 26, 2007
  • Illustrated Yes
  • Bookseller's Inventory # GRP75261316
  • ISBN 9780470104859 / 0470104856
  • Weight 1.71 lbs (0.78 kg)
  • Dimensions 9.18 x 7.38 x 1.17 in (23.32 x 18.75 x 2.97 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Database management, Relational databases
  • Library of Congress Catalogue Number 2006101277
  • Dewey Decimal Code 005.756
  • Quantity available 1

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Summary

Chart a course for more effective data analysis with Access 2007. With this resource, you'll learn how Access 2007 offers powerful functionality that may be better suited to your data analysis needs. Learn to analyze large amounts of data in meaningful ways, quickly and easily slice it into various views, automate redundant analysis, and save time--all using Access. If you know a bit about table structures and formulas as well as data analysis, start thinking outside the chart.

Reader reviews for Microsoft Access 2007 Data Analysis

From the publisher

Chart a course for more effective data analysis with Access 2007. With this resource, you'll learn how Access 2007 offers powerful functionality that may be better suited to your data analysis needs. Learn to analyze large amounts of data in meaningful ways, quickly and easily slice it into various views, automate redundant analysis, and save time--all using Access. If you know a bit about table structures and formulas as well as data analysis, start thinking outside the chart.

About the author

Michael Alexander is a Microsoft Certified Application Developer (MCAD) with more than thirteen years of experience consulting and developing office solutions. He currently serves as the director of an analytical services department for a $700 million company. He also runs a free tutorial site, www.datapigtechnologies.com, where he shares basic Access and Excel tips with intermediate users.
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