Microsoft Excel 2019 Data Analysis and Business Modeling, Sixth Edition

Book Description

Master business modeling and analysis techniques with Microsoft Excel 2019 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. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts.

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

Product Information

  • Title: Microsoft Excel 2019 Data Analysis and Business Modeling, Sixth Edition
  • Author(s): Wayne Winston
  • Release date: April 2019
  • Publisher(s): Microsoft Press
  • ISBN: 9781509306091