Excel 2007 Data Analysis For Dummies

• 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

Autorentext
Stephen L. Nelson, MBA, CPA, provides accounting, business advisory, tax planning, and tax preparation services to small businesses. He belongs to the American Institute of CPAs and is a prolific author.

Zusammenfassung

• 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

Inhalt

Introduction.

Part I: Where's the Beef?

Chapter 1: Introducing Excel Tables.

Chapter 2: Grabbing Data from External Sources.

Chapter 3: Scrub-a-Dub-Dub: Cleaning Data.

Part II: PivotTables and PivotCharts.

Chapter 4: Working with PivotTables.

Chapter 5: Building PivotTable Formulas.

Chapter 6: Working with PivotCharts.

Chapter 7: Customizing PivotCharts.

Part III: Advanced Tools.

Chapter 8: Using the Database Functions.

Chapter 9: Using the Statistics Functions.

Chapter 10: Descriptive Statistics.

Chapter 11: Inferential Statistics.

Chapter 12: Optimization Modeling with Solver.

Part IV: The Part of Tens.

Chapter 13: Almost Ten Things You Ought to Know about
Statistics.

Chapter 14: Almost Ten Tips for Presenting Table Results and
Analyzing Data.

Chapter 15: Ten Tips for Visually Analyzing and Presenting
Data.

Part V: Appendix.

Glossary of Data Analysis and Excel Terms.

Index.