TY  - BOOK
AU  - Nelson, Stephen L.
AU  - Nelson, Elizabeth C.
TI  - Microsoft excel data analysis for dummies
SN  - 9788126573455
U1  - 005.54 
PY  - 2018///
CY  - New Delhi
PB  - Wiley India Pvt. Ltd.
KW  - Microsoft Excel (Computer file)
KW  - Electronic spreadsheets
KW  - Electronic spreadsheets--Computer programs
KW  - Data mining
KW  - Quantitative research
KW  - Statistics--Computer programs
N1  - Table of content

Introduction  

 

Part I: Getting Started with Data Analysis

Chapter 1: Introducing Excel Tables  

Chapter 2: Grabbing Data from External Sources

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

 

Part II: PivotTables and Pivot Charts

Chapter 4: Working with PivotTables

Chapter 5: Building PivotTable Formulas

Chapter 6: Working with Pivot Charts

Chapter 7: Customizing Pivot Charts

 

Part III: Advanced Tools

Chapter 8: Using the Database Functions

Chapter 9: Using the Statistics Functions

Chapter 10: Descriptive Statistics

Chapter 11: Inferential Statistics

Chapter 12: Optimization Modeling with Solver

 

Part IV: The Part of Tens

Chapter 13: Ten Things You Ought to Know about Statistics  

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

Chapter 15: Ten Tips for Visually Analyzing and Presenting Data

 

Appendix: Glossary of Data Analysis and Excel Terms

Index
N2  - Description
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!
ER  -