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.
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Chart a course for more effective data analysis
Data analysis is more than crunching numbers and turning them into charts and graphs. Certainly Excel can do that, but you may be surprised to discover that Access 2007 offers powerful functionality that may be even 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.
Create custom functions, perform batch analysis, and develop automated procedures that essentially run themselves
Build effective query skills
Learn to clean and shape raw data, create and utilize custom calculations, work with dates, and perform advanced time analysis
Work with SQL statements, PivotTables, and PivotCharts
Perform advanced statistical analysis using subqueries and domain aggregate functions
See how to use macros and Visual Basic® for Applications to enhance data analysis
Companion web site
Find all the examples from the book in the sample database located at www.wiley.com/go/access2007dataanalysis
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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