# Microsoft Excel 2013: Data Analysis and Business Modeling

, by Winston, Wayne**Note:**Supplemental materials are not guaranteed with Rental or Used book purchases.

- ISBN: 9780735669130 | 0735669139
- Cover: Paperback
- Copyright: 1/15/2014

Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook.

**Solve real business problems with Excel—and sharpen your edge**

- Summarize data with PivotTables and Descriptive Statistics
- Explore new trends in predictive and prescriptive analytics
- Use Excel Trend Curves, multiple regression, and exponential smoothing
- Master advanced Excel functions such as OFFSET and INDIRECT
- Delve into key financial, statistical, and time functions
- Make your charts more effective with the Power View tool
- Tame complex optimization problems with Excel Solver
- Run Monte Carlo simulations on stock prices and bidding models
- Apply important modeling tools such as the Inquire add-in

**Wayne L. Winston** is a professor of Decision Sciences at Indiana University's Kelley School of Business and has earned numerous MBA teaching awards. For 20+ years, he has taught clients at Fortune 500 companies how to use Excel to make smarter business decisions. Wayne and his business partner Jeff Sagarin developed the player-statistics tracking and rating system used by the Dallas Mavericks professional basketball team. He is also a two time Jeopardy! Champion.

- Introduction
- Chapter 1: Range names
- Chapter 2: Lookup functions
- Chapter 3: INDEX function
- Chapter 4: MATCH function
- Chapter 5: Text functions
- Chapter 6: Dates and date functions
- Chapter 7: Evaluating investments by using net present value criteria
- Chapter 8: Internal rate of return
- Chapter 9: More Excel financial functions
- Chapter 10: Circular references
- Chapter 11: IF statements
- Chapter 12: Time and time functions
- Chapter 13: The Paste Special command
- Chapter 14: Three-dimensional formulas
- Chapter 15: The Auditing tool and Inquire add-in
- Chapter 16: Sensitivity analysis with data tables
- Chapter 17: The Goal Seek command
- Chapter 18: Using the Scenario Manager for sensitivity analysis
- Chapter 19: The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
- Chapter 20: The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions
- Chapter 21: The OFFSET function
- Chapter 22: The INDIRECT function
- Chapter 23: Conditional formatting
- Chapter 24: Sorting in Excel
- Chapter 25: Tables
- Chapter 26: Spinner buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes
- Chapter 27: The analytics revolution
- Chapter 28: Introducing optimization with Excel Solver
- Chapter 29: Using Solver to determine the optimal product mix
- Chapter 30: Using Solver to schedule your workforce
- Chapter 31: Using Solver to solve transportation or distribution problems
- Chapter 32: Using Solver for capital budgeting
- Chapter 33: Using Solver for financial planning
- Chapter 34: Using Solver to rate sports teams
- Chapter 35: Warehouse location and the GRG Multistart and Evolutionary Solver engines
- Chapter 36: Penalties and the Evolutionary Solver
- Chapter 37: The traveling salesperson problem
- Chapter 38: Importing data from a text file or document
- Chapter 39: Importing data from the Internet
- Chapter 40: Validating data
- Chapter 41: Summarizing data by using histograms
- Chapter 42: Summarizing data by using descriptive statistics
- Chapter 43: Using PivotTables and slicers to describe data
- Chapter 44: The Data Model
- Chapter 45: PowerPivot
- Chapter 46: Power View
- Chapter 47: Sparklines
- Chapter 48: Summarizing data with database statistical functions
- Chapter 49: Filtering data and removing duplicates
- Chapter 50: Consolidating data
- Chapter 51: Creating subtotals
- Chapter 52: Charting tricks
- Chapter 53: Estimating straight-line relationships
- Chapter 54: Modeling exponential growth
- Chapter 55: The power curve
- Chapter 56: Using correlations to summarize relationships
- Chapter 57: Introduction to multiple regression
- Chapter 58: Incorporating qualitative factors into multiple regression
- Chapter 59: Modeling nonlinearities and interactions
- Chapter 60: Analysis of variance: one-way ANOVA
- Chapter 61: Randomized blocks and two-way ANOVA
- Chapter 62: Using moving averages to understand time series
- Chapter 63: Winters's method
- Chapter 64: Ratio-to-moving-average forecast method
- Chapter 65: Forecasting in the presence of special events
- Chapter 66: An introduction to random variables
- Chapter 67: The binomial, hypergeometric, and negative binomial random variables
- Chapter 68: The Poisson and exponential random variable
- Chapter 69: The normal random variable
- Chapter 70: Weibull and beta distributions: modeling machine life and duration of a project
- Chapter 71: Making probability statements from forecasts
- Chapter 72: Using the lognormal random variable to model stock prices
- Chapter 73: Introduction to Monte Carlo simulation
- Chapter 74: Calculating an optimal bid
- Chapter 75: Simulating stock prices and asset allocation modeling
- Chapter 76: Fun and games: simulating gambling and sporting event probabilities
- Chapter 77: Using resampling to analyze data
- Chapter 78: Pricing stock options
- Chapter 79: Determining customer value
- Chapter 80: The economic order quantity inventory model
- Chapter 81: Inventory modeling with uncertain demand
- Chapter 82: Queuing theory: the mathematics of waiting in line
- Chapter 83: Estimating a demand curve
- Chapter 84: Pricing products by using tie-ins
- Chapter 85: Pricing products by using subjectively determined demand
- Chapter 86: Nonlinear pricing
- Chapter 87: Array formulas and functions
- About the Author