Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365), 7th edition

Published by Microsoft Press (December 17, 2021) © 2022

  • Wayne Winston
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Transform data into bottom-line results

Master business modelling and analysis techniques with Microsoft Excel. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts.

  • CHAPTER 1 Basic worksheet modeling
  • CHAPTER 2 Range names
  • CHAPTER 3 Lookup functions
  • CHAPTER 4 The INDEX function
  • CHAPTER 5 The MATCH function
  • CHAPTER 6 Text functions and Flash Fill
  • CHAPTER 7 Dates and date functions
  • CHAPTER 8 The net present value functions: NPV and XNPV
  • CHAPTER 9 The internal rate of return: IRR, XIRR, and MIRR functions
  • CHAPTER 10 More Excel financial functions
  • CHAPTER 11 Circular references
  • CHAPTER 12 IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions
  • CHAPTER 13 Time and time functions
  • CHAPTER 14 The Paste Special command
  • CHAPTER 15 Three-dimensional formulas and hyperlinks
  • CHAPTER 16 The auditing tool and the Inquire add-in
  • CHAPTER 17 Sensitivity analysis with data tables
  • CHAPTER 18 The Goal Seek command
  • CHAPTER 19 Using the Scenario Manager for sensitivity analysis
  • CHAPTER 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
  • CHAPTER 21 The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions
  • CHAPTER 22 The OFFSET function
  • CHAPTER 23 The INDIRECT function
  • CHAPTER 24 Conditional formatting
  • CHAPTER 25 Excel tables and table slicers
  • CHAPTER 26 Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes
  • CHAPTER 27 Importing data from a text file or document
  • CHAPTER 28 The Power Query Editor
  • CHAPTER 29 Excel's new data types
  • CHAPTER 30 Summarizing data with histograms and Pareto charts
  • CHAPTER 31 Summarizing data with descriptive statistics
  • CHAPTER 32 Sorting in Excel
  • CHAPTER 33 Filtering data and removing duplicates
  • CHAPTER 34 Summarizing data with database statistical functions
  • CHAPTER 35 Array formulas and functions
  • CHAPTER 36 Excel's new dynamic array functions
  • CHAPTER 37 Validating data
  • CHAPTER 38 Using PivotTables and slicers to describe data
  • CHAPTER 39 The Data Model
  • CHAPTER 40 Power Pivot
  • CHAPTER 41 Consolidating data
  • CHAPTER 42 Creating subtotals
  • CHAPTER 43 Basic charting
  • CHAPTER 44 Advanced charting
  • CHAPTER 45 Filled and 3D Maps
  • CHAPTER 46 Sparklines
  • CHAPTER 47 Estimating straight-line relationships
  • CHAPTER 48 Modeling exponential growth
  • CHAPTER 49 The power curve
  • CHAPTER 50 Using correlations to summarize relationships
  • CHAPTER 51 Introduction to multiple regression
  • CHAPTER 52 Incorporating qualitative factors into multiple regression
  • CHAPTER 53 Modeling nonlinearities and interactions
  • CHAPTER 54 Analysis of variance: One-way ANOVA
  • CHAPTER 55 Randomized blocks and two-way ANOVA
  • CHAPTER 56 Using moving averages to understand time series
  • CHAPTER 57 Ratio-to-moving-average forecast method
  • CHAPTER 58 An introduction to probability
  • CHAPTER 59 An introduction to random variables
  • CHAPTER 60 The binomial, hypergeometric, and negative binomial random variables
  • CHAPTER 61 The Poisson and exponential random variable
  • CHAPTER 62 The normal random variable and Z-scores
  • CHAPTER 63 Making probability statements from forecasts
  • CHAPTER 64 Using the lognormal random variable to model stock prices
  • CHAPTER 65 Importing past stock prices, exchange rates, and cryptocurrency prices with the STOCKHISTORY function
  • CHAPTER 66 An introduction to optimization with Excel Solver
  • CHAPTER 67 Using Solver to determine the optimal product mix
  • CHAPTER 68 Using Solver to schedule your workforce
  • CHAPTER 69 Using Solver to solve transportation or distribution problems
  • CHAPTER 70 Using Solver for capital budgeting
  • CHAPTER 71 Using Solver for financial planning
  • CHAPTER 72 Using Solver to rate sports teams
  • CHAPTER 73 The Winters method and the Forecast Sheet tool
  • CHAPTER 74 Forecasting in the presence of special events
  • CHAPTER 75 Warehouse location and the GRG Multistart and Evolutionary Solver engines
  • CHAPTER 76 Penalties and the Evolutionary Solver
  • CHAPTER 77 The traveling salesperson problem
  • CHAPTER 78 Weibull and beta distributions: Modeling machine life and duration of a project
  • CHAPTER 79 Introduction to Monte Carlo simulation
  • CHAPTER 80 Calculating an optimal bid
  • CHAPTER 81 Simulating stock prices and asset-allocation modeling
  • CHAPTER 82 Fun and games: Simulating gambling and sporting-event probabilities
  • CHAPTER 83 Using resampling to analyze data
  • CHAPTER 84 Pricing stock options
  • CHAPTER 85 Determining customer value
  • CHAPTER 86 The economic order quantity inventory model
  • CHAPTER 87 Inventory modeling with uncertain demand
  • CHAPTER 88 Queuing theory: The mathematics of waiting in line
  • CHAPTER 89 Estimating a demand curve
  • CHAPTER 90 Pricing products by using tie-ins
  • CHAPTER 91 Pricing products by using subjectively determined demand
  • CHAPTER 92 Nonlinear pricing
  • CHAPTER 93 Use Analyze Data to find patterns in your data
  • CHAPTER 94 Recording macros
  • CHAPTER 95 The LET and LAMBDA functions and the LAMBDA helper functions
  • CHAPTER 96 Advanced sensitivity analysis

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