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Excel Data Analysis For Dummies

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作者
Paul McFedries
出版社
John Wiley
ISBN
9781119844426
出版日期
2022/02

簡介

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.

目錄

Introduction 1 Part 1: Getting Started with Data Analysis 5 Chapter 1: Learning Basic Data-Analysis Techniques 7 Chapter 2: Working with Data-Analysis Tools 31 Chapter 3: Introducing Excel Tables 55 Chapter 4: Grabbing Data from External Sources 77 Chapter 5: Analyzing Table Data with Functions 99 Part 2: Analyzing Data Using PivotTables and PivotCharts 113 Chapter 6: Creating and Using PivotTables 115 Chapter 7: Performing PivotTable Calculations 137 Chapter 8: Building PivotCharts 161 Part 3: Discovering Advanced Data-Analysis Tools 181 Chapter 9: Dealing with Data Models 183 Chapter 10: Tracking Trends and Making Forecasts 203 Chapter 11: Analyzing Data Using Statistics 227 Chapter 12: Analyzing Data Using Descriptive Statistics 245 Chapter 13: Analyzing Data Using Inferential Statistics 261 Part 4: The Part of Tens 279 Chapter 14: Ten Things You Ought to Know about Statistics 281 Chapter 15: Ten Ways to Analyze Financial Data 293 Chapter 16: Ten Ways to Raise Your PivotTable Game 303 Appendix: Glossary of Data Analysis and Excel Terms 317 Index 327

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