Excel Data Analysis: Your Visual Blueprint for Analyzing Data, Charts, and PivotTables, 4th Edition
- 3h 49m
- Paul McFedries
- John Wiley & Sons (US)
- 2013
Aimed at Excel power users who appreciate logical, clean explanations of techniques, this visual guide features numerous screenshots and easy-to-follow numbered steps in order to show you how to perform professional-level modeling, charting, data sharing, data access, data slicing, and other functions. You'll find super techniques for getting the most out of Excel's statistical and financial functions, Excel PivotTables and PivotCharts, Excel Solver, and more.
- Demonstrates how to crunch and analyze Excel data the way the professionals do in an uncluttered, visual style
- Offers a clear look at power-using the new Excel 2013, the latest version of the world's leading spreadsheet application from Microsoft
- Expands your Excel knowledge and helps you use Excel data more efficiently
- Explains how to retrieve data from databases; cut, slice, and pivot data using PivotTables; model data and chart data; and use advanced formulas
- Explores all features and functions in two-color pages packed with screenshots, numbered steps, and other visual graphics that clearly show you how to accomplish tasks
- Includes practical examples, tips, and advice to help you get the most out of Excel's features and functions
Learn the full power of Excel 2013 with this helpful guide!
About the Author
Paul Mcfedries (Toronto, Ontario) runs Logophilia Limited, a technical writing company, and has been writing computer books for more than 17 years. He is the author or coauthor of more than 60 books that have sold more than 3 million copies worldwide. Paul is also the proprietor of Wordspy.com, a website that tracks new words and phrases as they enter the language.
In this Book
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Building Formulas for Data Analysis
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Troubleshooting Formulas
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Enhancing Formulas with Functions
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Analyzing Financial Data
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Analyzing Statistical Data
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Building Tables for Data Analysis
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Sorting and Filtering Data
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Learning Data Analysis Techniques
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Working with Data Analysis Tools
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Tracking Trends and Making Forecasts
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Working with the Analysis ToolPak
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Analyzing Data with PivotTables
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Visualizing Data with Charts
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Importing Data into Excel
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Querying Data Sources
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Learning VBA for Data Analysis
