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Old 09-11-2009, 06:58 PM
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Default Analyzing Business Data with Excel Jan 2006





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




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