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

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

by Wayne Winston
Released December 2021
Publisher(s): Microsoft Press
ISBN: 9780137613816

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Book description

Master business modeling and analysis techniques with Microsoft Excel and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. A lot has changed in Office 365 since the previous edition. This new edition covers new functions (STOCKHISTORY, LET, LAMBDA, XLOOKUP) and new array functions. It also covers the new Data types that have been added. Finally, we’ve increased the coverage of Power Pivot , Macros, and Power Query.

Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Exceland build your competitive advantage:

  • Quickly transition from Excel basics to sophisticated analytics

  • Use PowerQuery or Get & Transform to connect, combine, and refine data sources

  • Leverage Office 365’s new Geography and Stock data types and six new functions

  • Illuminate insights from geographic and temporal data with 3D Maps

  • Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts

  • Use Excel trend curves, multiple regression, and exponential smoothing

  • Delve into key financial, statistical, and time functions

  • Master all of Excel’s great charts

  • Quickly create forecasts from historical time-based data

  • Use Solver to optimize product mix, logistics, work schedules, and investmentsand even rate sports teams

  • Run Monte Carlo simulations on stock prices and bidding models

  • Learn about basic probability and Bayes’ Theorem

  • Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook

  • Automate repetitive analytics tasks by using macros

Table of contents

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

Product information

  • Title: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365), 7th Edition
  • Author(s): Wayne Winston
  • Release date: December 2021
  • Publisher(s): Microsoft Press
  • ISBN: 9780137613816