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![]() Author(s): Gerald Knight Publisher: O'Reilly Year: 2006 ISBN: 0596100736 Language: English File type: CHM Pages: 262 Size (for download): 6.17 MB Learn how to apply Excel's advanced data analysis features to solve real-world business problems. This hands-on reference targets specific business situations, then demonstrates how to create spreadsheets for these problem areas. Topics include statistics, pivot tables, workload forecasting, modeling, queuing, data importing, and more. Perfect for professional Excel users working in an office environment. As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet. Analyzing Business Data with Excel shows you how to solve real-world business problems by taking Excel's data analysis features to the max. Rather than focusing on individual Excel functions and features, the book keys directly on the needs of business users. Most of the chapters start with a business problem or question, and then show you how to create pointed spreadsheets that address common data analysis issues. Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics. After introducing some necessary general tools, it quickly moves into more specific problem areas, such as the following: - Statistics - Pivot tables - Workload forecasting - Modeling - Measuring quality - Monitoring complex systems - Queuing - Optimizing - Importing data TABLE OF CONTENT: Chapter 01. Excel and Statistics Chapter 02. Pivot Tables and Problem Solving Chapter 03. Workload Forecasting Chapter 04. Modeling Chapter 05. Measuring Quality Chapter 06. Monitoring Complex Systems Chapter 07. Queuing Chapter 08. Custom Queuing Presentation Chapter 09. Optimizing Chapter 10. Importing Data Chapter 11. The Trouble with Data Chapter 12. Effective Display Techniques Code: http://rapidshare.com/files/29198845/an_bus_data.rar password: ganelon |
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