Paul McFedries

Excel Data Analysis For Dummies (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Erscheinungstermin: 5. Januar 2022
• Englisch
• ISBN-13: 9781119844464
• Artikelnr.: 72556230

Autorenporträt

Paul McFedries is the owner of Logophilia Limited, a successful technical writing firm. He has 25 years' experience writing instructional computer books and is the author of over 100 books that have sold a combined 4 million copies worldwide.

Inhaltsangabe

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