Microsoft Excel Data Analysis and Business Modeling
by Wayne L. Winston ISBN:0735619018
Microsoft Press © 2004 (616 pages)
Use this resource to apply the techniques that business analysts at leading companies use to analyze and transform data into bottom line results, and use Microsoft Excel for data analysis, modeling, and decision making.
Table of Contents
About Microsoft Excel Data Analysis and Business Modeling
Chapter 1 - Range Names
Chapter 2 - Natural Language Range Names
Chapter 3 - Lookup Functions
Chapter 4 - The INDEX Function
Chapter 5 - The MATCH Function
Chapter 6 - Text Functions
Chapter 7 - Dates and Date Functions
Chapter 8 - Evaluating Investments with Net Present Value Criteria
Chapter 9 - Internal Rate of Return
Chapter 10 - Functions for Personal Financial Decisions: The PV, FV, PMT, PPMT, and IPMT Functions
Chapter 11 - Circular References
Chapter 12 - IF Statements
Chapter 13 - The Paste Special Command
Chapter 14 - The Auditing Tool
Chapter 15 - Sensitivity Analysis with Data Tables
Chapter 16 - The Goal Seek Command
Chapter 17 - Using the Scenario Manager for Sensitivity Analysis
Chapter 18 - Creating and Using Spinners for Sensitivity Analysis
Chapter 19 - The COUNTIF, COUNT, COUNTA, and COUNTBLANK Functions
Chapter 20 - The SUMIF Function
Chapter 21 - The OFFSET Function
Chapter 22 - The INDIRECT Function
Chapter 23 - Conditional Formatting
Chapter 24 - An Introduction to Optimization with the Excel Solver
Chapter 25 - Using Solver to Determine the Optimal Product Mix
Chapter 26 - Using Solver to Solve Transportation or Distribution Problems
Chapter 27 - Using Solver to Schedule Your Workforce
Chapter 28 - Using Solver for Capital Budgeting
Chapter 29 - Using Solver for Financial Planning
Chapter 30 - Using Solver to Rate Sports Teams
Chapter 31 - Importing Text or Microsoft Word Data into Excel
Chapter 32 - Importing Data from the Web into Excel
Chapter 33 - Validating Data
Chapter 34 - Summarizing Data with Histograms
Chapter 35 - Summarizing Data with Descriptive Statistics
Chapter 36 - Using PivotTables to Describe Data
Chapter 37 - Summarizing Data with Database Statistical Functions
Chapter 38 - Filtering Data
Chapter 39 - Consolidating Data
Chapter 40 - Creating Subtotals
Chapter 41 - Estimating Straight Line Relationships
Chapter 42 - Modeling Exponential Growth
Chapter 43 - The Power Curve
Chapter 44 - Using Correlations to Summarize Relationships
Chapter 45 - Introduction to Multiple Regression
Chapter 46 - Incorporating Qualitative Factors into Multiple Regression
Chapter 47 - Modeling Nonlinearities and Interactions
Chapter 48 - Analysis of Variance: One-Way ANOVA
Chapter 49 - Randomized Blocks and Two-Way ANOVA
Chapter 50 - Using Moving Averages to Understand Time Series
Chapter 51 - Forecasting with Moving Averages
Chapter 52 - Forecasting in the Presence of Special Events
Chapter 53 - An Introduction to Random Variables
Chapter 54 - The Binomial and Hypergeometric Random Variables
Chapter 55 - The Poisson and Exponential Random Variable
Chapter 56 - The Normal Random Variable
Chapter 57 - Weibull and Beta Distributions: Modeling Machine Life and Duration of a Project
Chapter 58 - Introduction to Monte Carlo Simulation
Chapter 59 - Calculating an Optimal Bid
Chapter 60 - Simulating Stock Prices and Asset Allocation Modeling
Chapter 61 - Fun and Games: Simulating Gambling and Sporting Event Probabilities
Chapter 62 - Using Resampling to Analyze Data
Chapter 63 - Pricing Stock Options
Chapter 64 - Determining Customer Value
Chapter 65 - The Economic Order Quantity Inventory Model
Chapter 66 - Determining the Reorder Point: How Low Should I Let My Inventory Level Go Before I Reorder?
Chapter 67 - Queuing Theory: The Mathematics of Waiting in Line
Chapter 68 - Estimating a Demand Curve
Chapter 69 - Pricing Products with Tie-Ins
Chapter 70 - Pricing Products Using Subjectively Determined Demand
Chapter 71 - Nonlinear Pricing
Chapter 72 - Array Formulas and Functions
Chapter 73 - Picking Your Fantasy Football Team
Index
List of Figures
List of Tables
List of Sidebars