Turn jumbles of numbers into graphics, insights, and answers with Excel
With Microsoft Excel, you can, well, excel at data analysis. And Excel Data Analysis For Dummies can help, with clear and easy explanations of the mountain of features for creating, visualizing, and analyzing data. PivotTables, charts, what-if analysis, statistical functions—it’s all in here, with examples and ideas for Excel users of all skill levels.
This latest edition covers the most recent updates to Excel and Microsoft 365. You’ll beef up your data skills and learn powerful techniques for turning numbers into knowledge. For students, researchers, and business professionals, Excel is the spreadsheet and data application of choice—and Dummies is the best choice for learning how to make those numbers sing.
- Learn how to use Excel’s built-in data analysis features and write your own functions to explore patterns in your data
- Create striking charts and visualizations, and discover multiple ways to tell the stories hidden in the numbers
- Clean up large datasets and identify statistical operations that will answer your questions
- Perform financial calculations, database operations, and more—without leaving Excel
Excel Data Analysis For Dummies is the go-to resource for Excel users who are looking for better ways to crunch the numbers.
Table of contents
Part 1: Getting Started with Data Analysis Chapter 1: Learning Basic Data-Analysis Techniques Chapter 2: Working with Data-Analysis Tools Chapter 3: Introducing Excel Tables Chapter 4: Grabbing Data from External Sources Chapter 5: Analyzing Table Data with Functions Part 2: Analyzing Data Using PivotTables and PivotCharts Chapter 6: Creating and Using PivotTables Chapter 7: Performing PivotTable Calculations Chapter 8: Building PivotCharts Part 3: Discovering Advanced Data-Analysis Tools Chapter 9: Dealing with Data Models Chapter 10: Tracking Trends and Making Forecasts Chapter 11: Analyzing Data Using Statistics Chapter 12: Analyzing Data Using Descriptive Statistics Chapter 13: Analyzing Data Using Inferential Statistics Part 4: The Part of Tens Chapter 14: Ten Things You Ought to Know about Statistics Chapter 15: Ten Ways to Analyze Financial Data Chapter 16: Ten Ways to Raise Your PivotTable Game Appendix: Glossary of Data Analysis and Excel Terms