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Microsoft Office Excel 2007 data analysis for dummies

Stephen L. Nelson

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تحویل فوری
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پشتیبانی

مشخصات کتاب

نویسنده
Stephen L. Nelson
سال انتشار
۲۰۰۷
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱۸٫۹ مگابایت
شابک
9780470045992، 9780470136782، 9780764518270، 9781118051351، 9781280741838، 047004599X، 0470136782، 0764518275، 1118051351، 128074183X

دربارهٔ کتاب

Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their organization's critical financial and statistical information, and put together compelling data presentations Now revised with over 30 percent new content to cover the enhancements in Excel 2007, including the completely redesigned user interface, augmented charting and PivotTable capabilities, improved security, and better data exchange through XML Provides thorough coverage of Excel features that are critical to data analysis-working with external databases, creating PivotTables and PivotCharts, using Excel statistical and financial functions, sharing data, harnessing the Solver, taking advantage of the Small Business Finance Manager, and more
  • Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their organization's critical financial and statistical information, and put together compelling data presentations
  • Now revised with over 30 percent new content to cover the enhancements in Excel 2007, including the completely redesigned user interface, augmented charting and PivotTable capabilities, improved security, and better data exchange through XML
  • Provides thorough coverage of Excel features that are critical to data analysis-working with external databases, creating PivotTables and PivotCharts, using Excel statistical and financial functions, sharing data, harnessing the Solver, taking advantage of the Small Business Finance Manager, and more
This title is for readers who want to move beyond building simple worksheets and want to begin using Excel to gain valuable insight from their data. It focuses on the features of Excel that are important to businesses and researchers Provides instructions on using Excel to turn raw data into usefull information, covering such topics as PivotCharts, regression analysis, and database functions.

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