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Want to take the guesswork out of analyzing data? Let Excel do all the work for you!
Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don´t take full advantage of Excel´s data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you´ll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool.

This easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, tips and tricks for using Excel´s statistical and financial functions, how to visually present your data so it makes sense, and information about the fancier, more advanced tools for those who have mastered the basics! Once you´re up to speed, you can stop worrying about how to make use of all that data you have on your hands and get down to the business of discovering meaningful, actionable insights for your business or organization.

Excel is the most popular business intelligence tool in the world, and the newest update - Microsoft Excel 2016 - features even more powerful features for data analysis and visualization. Users can slice and dice their data and create visual presentations that turn otherwise indecipherable reports into easy-to-digest presentations that can quickly and effectively illustrate the key insights you are seeking.

Fully updated to cover the latest updates and features of Excel 2016
Learn useful details about statistics, analysis, and visual presentations for your data
Features coverage of database and statistics functions, descriptive statistics, inferential statistics, and optimization modeling with Solver
Helps anyone who needs insight into how to get things done with data that is unwieldy and difficult to understand
With Excel Data Analysis For Dummies, 3rd Edition, you´ll soon be quickly and easily performing key analyses that can drive organizational decisions and create competitive advantages.



Table of Contents

Introduction 1

Part I: Getting Started with Data Analysis 7

Chapter 1: Introducing Excel Tables 9

Chapter 2: Grabbing Data from External Sources 31

Chapter 3: Scrub-a-Dub-Dub: Cleaning 59

Part II: PivotTables and PivotCharts 81

Chapter 4: Working with PivotTables 83

Chapter 5: Building PivotTable Formulas 111

Chapter 6: Working with PivotCharts 133

Chapter 7: Customizing PivotCharts 147

Part III: Advanced Tools 161

Chapter 8: Using the Database Functions 163

Chapter 9: Using the Statistics Functions 183

Chapter 10: Descriptive Statistics 237

Chapter 11: Inferential Statistics 257

Chapter 12: Optimization Modeling with Solver 277

Part IV: The Part of Tens 303

Chapter 13: Ten Things You Ought to Know about Statistics 305

Chapter 14: Almost Ten Tips for Presenting Table Results and Analyzing Data 317

Chapter 15: Ten Tips for Visually Analyzing and Presenting Data 323

Appendix: Glossary of Data Analysis and Excel Terms 335

Index 345