## 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

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