## Book description

Master the business modeling and analysis techniques that help you transform data into bottom-line results. For more than a decade, Wayne Winston has been teaching corporate clients and MBA students the most effective ways to use Excel to solve business problems and make better decisions. Now this award-winning educator shares the best of his expertise in this hands-on, scenario-focused guide—fully updated for Excel 2010!

Use Excel to solve real business problems—and sharpen your
edge!

Model investment risks and returns

Analyze your sales team’s effectiveness

Create best, worst, and most-likely case scenarios

Compare lease vs. buy, and calculate loan terms

See how price, advertising, and seasonality affect sales

Manage inventory with precision

Quantify the value of customer loyalty

Calculate your break-even number and ROI

Maximize scheduling efficiency

Express “home-field advantage” in real numbers

Project company growth, predict election results, and more!

Plus—introduce yourself to PowerPivot for Excel

Your companion web content includes:

Downloadable eBook

Hundreds of scenario-based practice problems

All the book’s sample files—plus customizable templates

## Table of contents

- MicrosoftÂ® ExcelÂ® 2010: Data Analysis and Business Modeling
- Introduction
- 1. Whatâs New in Excel 2010
- 2. Range Names
- 3. Lookup Functions
- 4. The INDEX Function
- 5. The MATCH Function
- 6. Text Functions
- 7. Dates and Date Functions
- 8. Evaluating Investments by Using Net Present Value Criteria
- 9. Internal Rate of Return
- 10. More Excel Financial Functions
- 11. Circular References
- 12. IF Statements
- 13. Time and Time Functions
- 14. The Paste Special Command
- 15. Three-Dimensional Formulas
- 16. The Auditing Tool
- 17. Sensitivity Analysis with Data Tables
- 18. The Goal Seek Command
- 19. Using the Scenario Manager for Sensitivity Analysis
- 20. The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions
- 21. The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS Functions
- 22. The OFFSET Function
- 23. The INDIRECT Function
- 24. Conditional Formatting
- 25. Sorting in Excel
- 26. Tables
- 27. Spin Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes, and Group List Boxes
- 28. An Introduction to Optimization with Excel Solver
- 29. Using Solver to Determine the Optimal Product Mix
- 30. Using Solver to Schedule Your Workforce
- 31. Using Solver to Solve Transportation or Distribution Problems
- 32. Using Solver for Capital Budgeting
- 33. Using Solver for Financial Planning
- 34. Using Solver to Rate Sports Teams
- 35. Warehouse Location and the GRG Multistart and Evolutionary Solver Engines
- 36. Penalties and the Evolutionary Solver
- 37. The Traveling Salesperson Problem
- 38. Importing Data from a Text File or Document
- 39. Importing Data from the Internet
- 40. Validating Data
- 41. Summarizing Data by Using Histograms
- 42. Summarizing Data by Using Descriptive Statistics
- 43. Using PivotTables and Slicers to Describe Data
- 44. Sparklines
- 45. Summarizing Data with Database Statistical Functions
- 46. Filtering Data and Removing Duplicates
- 47. Consolidating Data
- 48. Creating Subtotals
- 49. Estimating Straight Line Relationships
- 50. Modeling Exponential Growth
- 51. The Power Curve
- 52. Using Correlations to Summarize Relationships
- 53. Introduction to Multiple Regression
- 54. Incorporating Qualitative Factors into Multiple Regression
- 55. Modeling Nonlinearities and Interactions
- 56. Analysis of Variance: One-Way ANOVA
- 57. Randomized Blocks and Two-Way ANOVA
- 58. Using Moving Averages to Understand Time Series
- 59. Wintersâs Method
- 60. Ratio-to-Moving-Average Forecast Method
- 61. Forecasting in the Presence of Special Events
- 62. An Introduction to Random Variables
- 63. The Binomial, Hypergeometric, and Negative Binomial Random Variables
- 64. The Poisson and Exponential Random Variable
- 65. The Normal Random Variable
- 66. Weibull and Beta Distributions: Modeling Machine Life and Duration of a Project
- 67. Making Probability Statements from Forecasts
- 68. Using the Lognormal Random Variable to Model Stock Prices
- 69. Introduction to Monte Carlo Simulation
- 70. Calculating an Optimal Bid
- 71. Simulating Stock Prices and Asset Allocation Modeling
- 72. Fun and Games: Simulating Gambling and Sporting Event Probabilities
- 73. Using Resampling to Analyze Data
- 74. Pricing Stock Options
- 75. Determining Customer Value
- 76. The Economic Order Quantity Inventory Model
- 77. Inventory Modeling with Uncertain Demand
- 78. Queuing Theory: The Mathematics of Waiting in Line
- 79. Estimating a Demand Curve
- 80. Pricing Products by Using Tie-Ins
- 81. Pricing Products by Using Subjectively Determined Demand
- 82. Nonlinear Pricing
- 83. Array Formulas and Functions
- 84. PowerPivot
- A. About the Author
- Index
- About the Author
- Copyright

## Product information

- Title: Microsoft® Excel® 2010: Data Analysis and Business Modeling
- Author(s):
- Release date: January 2011
- Publisher(s): Microsoft Press
- ISBN: 9780735656864

## You might also like

video

### Introduction to ChatGPT and OpenAI

OpenAI ChatGPT is a powerful language model that uses advanced ML techniques to generate human-like text …

book

### Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools …

book

### Fundamentals of Data Visualization

Effective visualization is the best way to communicate information from the increasingly large and complex datasets …

audiobook

### How to Do Nothing

A galvanizing critique of the forces vying for our attention-and our personal information-that redefines what we …