Microsoft Excel 2016 Data Analysis and Business Modeling

Microsoft Excel 2016 Data Analysis and Business Modeling

by Wayne L. Winston
Released December 2016
Publisher(s): Microsoft Press
ISBN: 9781509304233

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Book description

Master business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed.

Solve real business problems with Excel—and build your competitive advantage

  • Quickly transition from Excel basics to sophisticated analytics

  • Summarize data by using PivotTables and Descriptive Statistics

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

  • Master advanced functions such as OFFSET and INDIRECT

  • Delve into key financial, statistical, and time functions

  • Leverage the new charts in Excel 2016 (including box and whisker and waterfall charts)

  • Make charts more effective by using Power View

  • Tame complex optimizations by using Excel Solver

  • Run Monte Carlo simulations on stock prices and bidding models

  • Work with the AGGREGATE function and table slicers

  • Create PivotTables from data in different worksheets or workbooks

  • Learn about basic probability and Bayes’ Theorem

  • Automate repetitive tasks by using macros

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    Table of contents

    1. Cover
    2. Title Page
    3. Copyright Page
    4. Contents at a glance
    5. Contents
    6. 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. Errata, updates, & book support
      7. Free ebooks from Microsoft Press
      8. We want to hear from you
      9. Stay in touch
    7. Chapter 1. Basic spreadsheet modeling
      1. Answers to this chapter’s questions
      2. Problems
    8. Chapter 2. Range names
      1. How can I create named ranges?
        1. Using the Name box to create a range name
        2. Creating named ranges by using the Create From Selection option
        3. Creating range names by using the Define Name option
        4. The Name Manager
      2. Answers to this chapter’s questions
        1. Remarks
      3. Problems
    9. Chapter 3. Lookup functions
      1. Syntax of the lookup functions
        1. VLOOKUP syntax
        2. HLOOKUP syntax
      2. Answers to this chapter’s questions
      3. Problems
    10. Chapter 4. The INDEX function
      1. Syntax of the INDEX function
      2. Answers to this chapter’s questions
      3. Problems
    11. Chapter 5. The MATCH function
      1. Syntax of the MATCH function
      2. Answers to this chapter’s questions
      3. Problems
    12. Chapter 6. Text functions
      1. Text function syntax
        1. The LEFT function
        2. The RIGHT function
        3. The MID function
        4. The TRIM function
        5. The LEN function
        6. The FIND and SEARCH functions
        7. The REPT function
        8. The CONCATENATE and & functions
        9. The REPLACE function
        10. The VALUE function
        11. The UPPER, LOWER, and PROPER functions
        12. The CHAR function
        13. The CLEAN function
        14. The SUBSTITUTE function
      2. Answers to this chapter’s questions
        1. Extracting data by using the Convert Text To Columns Wizard
      3. Problems
    13. Chapter 7. Dates and date functions
      1. Answers to this chapter’s questions
      2. Problems
    14. Chapter 8. Evaluating investments by using net present value criteria
      1. Answers to this chapter’s questions
      2. Problems
    15. Chapter 9. Internal rate of return
      1. Answers to this chapter’s questions
      2. Problems
    16. Chapter 10. More Excel financial functions
      1. Answers to this chapter’s questions
        1. CUMPRINC and CUMIPMT functions
      2. Problems
    17. Chapter 11. Circular references
      1. Answers to this chapter’s questions
      2. Problems
    18. Chapter 12. IF statements
      1. Answers to this chapter’s questions
      2. Problems
    19. Chapter 13. Time and time functions
      1. Answers to this chapter’s questions
      2. Problems
    20. Chapter 14. The Paste Special command
      1. Answers to this chapter’s questions
      2. Problems
    21. Chapter 15. Three-dimensional formulas and hyperlinks
      1. Answers to this chapter’s questions
      2. Problems
    22. Chapter 16. The auditing tool
      1. Answers to this chapter’s questions
      2. Problems
    23. Chapter 17. Sensitivity analysis with data tables
      1. Answers to this chapter’s questions
      2. Problems
    24. Chapter 18. The Goal Seek command
      1. Answers to this chapter’s questions
      2. Problems
    25. Chapter 19. Using the Scenario Manager for sensitivity analysis
      1. Answer to this chapter’s question
        1. Remarks
      2. Problems
    26. Chapter 20. The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
      1. Answers to this chapter’s questions
        1. Remarks
      2. Problems
    27. Chapter 21. The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions
      1. Answers to this chapter’s questions
      2. Problems
    28. Chapter 22. The OFFSET function
      1. Answers to this chapter’s questions
        1. Remarks
      2. Problems
    29. Chapter 23. The INDIRECT function
      1. Answers to this chapter’s questions
      2. Problems
    30. Chapter 24. Conditional formatting
      1. Answers to this chapter’s questions
      2. Problems
    31. Chapter 25. Sorting in Excel
      1. Answers to this chapter’s questions
      2. Problems
    32. Chapter 26. Tables
      1. Answers to this chapter’s questions
      2. Problems
    33. Chapter 27. Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes
      1. Answers to this chapter’s questions
      2. Problems
    34. Chapter 28. The analytics revolution
      1. Answers to this chapter’s questions
    35. Chapter 29. An introduction to optimization with Excel Solver
      1. Problems
    36. Chapter 30. Using Solver to determine the optimal product mix
      1. Answers to this chapter’s questions
      2. Problems
    37. Chapter 31. Using Solver to schedule your workforce
      1. Answers to this chapter’s question
      2. Problems
    38. Chapter 32. Using Solver to solve transportation or distribution problems
      1. Answer to this chapter’s question
      2. Problems
    39. Chapter 33. Using Solver for capital budgeting
      1. Answer to this chapter’s question
        1. Handling other constraints
        2. Solving binary and integer programming problems
      2. Problems
    40. Chapter 34. Using Solver for financial planning
      1. Answers to this chapter’s questions
      2. Problems
    41. Chapter 35. Using Solver to rate sports teams
      1. Answer to this chapter’s question
        1. Why is our model not a linear Solver model?
      2. Problems
    42. Chapter 36. Warehouse location and the GRG Multistart and Evolutionary Solver engines
      1. Understanding the GRG Multistart and Evolutionary Solver engines
        1. How does Solver solve linear model problems?
        2. How does the GRG Nonlinear engine solve nonlinear optimization models?
        3. How does the Evolutionary Solver engine tackle nonsmooth optimization problems?
      2. Answer to this chapter’s questions
      3. Problems
    43. Chapter 37. Penalties and the Evolutionary Solver
      1. Answers to this chapter’s questions
        1. Using conditional formatting to highlight each employee’s ratings
      2. Problems
    44. Chapter 38. The traveling salesperson problem
      1. Answers to this chapter’s questions
      2. Problems
    45. Chapter 39. Importing data from a text file or document
      1. Answers to this chapter’s question
      2. Problems
    46. Chapter 40. Validating data
      1. Answers to this chapter’s questions
        1. Remarks
      2. Problems
    47. Chapter 41. Summarizing data by using histograms and Pareto charts
      1. Answers to this chapter’s questions
      2. Problems
    48. Chapter 42. Summarizing data by using descriptive statistics
      1. Answers to this chapter’s questions
        1. Using conditional formatting to highlight outliers
      2. Problems
    49. Chapter 43. Using PivotTables and slicers to describe data
      1. Answers to this chapter’s questions
        1. Remarks about grouping
      2. Problems
    50. Chapter 44. The Data Model
      1. Answers to this chapter’s questions
      2. Problems
    51. Chapter 45. Power Pivot
      1. Answers to this chapter’s questions
      2. Problems
    52. Chapter 46. Power View and 3D Maps
      1. Questions answered in this chapter
      2. Problems
    53. Chapter 47. Sparklines
      1. Answers to this chapter’s questions
      2. Problems
    54. Chapter 48. Summarizing data with database statistical functions
      1. Answers to this chapter’s questions
      2. Problems
    55. Chapter 49. Filtering data and removing duplicates
      1. Answers to this chapter’s questions
      2. Problems
    56. Chapter 50. Consolidating data
      1. Answer to this chapter’s question
      2. Problems
    57. Chapter 51. Creating subtotals
      1. Answers to this chapter’s questions
      2. Problems
    58. Chapter 52. Charting tricks
      1. Answers to this chapter’s questions
      2. Problems
    59. Chapter 53. Estimating straight-line relationships
      1. Answers to this chapter’s questions
      2. Problems
    60. Chapter 54. Modeling exponential growth
      1. Answers to this chapter’s question
      2. Problems
    61. Chapter 55. The power curve
      1. Answer to this chapter’s question
      2. Problems
    62. Chapter 56. Using correlations to summarize relationships
      1. Answer to this chapter’s question
        1. Filling in the correlation matrix
        2. Using the CORREL function
        3. Relationship between correlation and R-squared
        4. Correlation and regression toward the mean
      2. Problems
    63. Chapter 57. Introduction to multiple regression
      1. Answers to this chapter’s questions
    64. Chapter 58. Incorporating qualitative factors into multiple regression
      1. Answers to this chapter’s questions
    65. Chapter 59. Modeling nonlinearities and interactions
      1. Answers to this chapter’s questions
      2. Problems for Chapters 57 through 59
    66. Chapter 60. Analysis of variance: One-way ANOVA
      1. Answers to this chapter’s questions
      2. Problems
    67. Chapter 61. Randomized blocks and two-way ANOVA
      1. Answers to this chapter’s questions
      2. Problems
    68. Chapter 62. Using moving averages to understand time series
      1. Answers to this chapter’s question
      2. Problem
    69. Chapter 63. Winters method
      1. Time-series characteristics
      2. Parameter definitions
      3. Initializing Winters method
      4. Estimating the smoothing constants
      5. Remarks
      6. Problems
    70. Chapter 64. Ratio-to-moving-average forecast method
      1. Answers to this chapter’s questions
      2. Problem
    71. Chapter 65. Forecasting in the presence of special events
      1. Answers to this chapter’s questions
      2. Problems
    72. Chapter 66. An introduction to probability
      1. Answers to this chapter’s questions
      2. Problems
    73. Chapter 67. An introduction to random variables
      1. Answers to this chapter’s questions
      2. Problems
    74. Chapter 68. The binomial, hypergeometric, and negative binomial random variables
      1. Answers to this chapter’s questions
      2. Problems
    75. Chapter 69. The Poisson and exponential random variable
      1. Answers to this chapter’s questions
      2. Problems
    76. Chapter 70. The normal random variable and Z-scores
      1. Answers to this chapter’s questions
      2. Problems
    77. Chapter 71. Weibull and beta distributions: Modeling machine life and duration of a project
      1. Answers to this chapter’s questions
      2. Problems
    78. Chapter 72. Making probability statements from forecasts
      1. Answers to this chapter’s questions
      2. Problems
    79. Chapter 73. Using the lognormal random variable to model stock prices
      1. Answers to this chapter’s questions
      2. Remarks
      3. Problems
    80. Chapter 74. Introduction to Monte Carlo simulation
      1. Answers to this chapter’s questions
        1. The impact of risk on your decision
        2. Confidence interval for mean profit
      2. Problems
    81. Chapter 75. Calculating an optimal bid
      1. Answers to this chapter’s questions
      2. Problems
    82. Chapter 76. Simulating stock prices and asset-allocation modeling
      1. Answers to this chapter’s questions
      2. Problems
    83. Chapter 77. Fun and games: Simulating gambling and sporting-event probabilities
      1. Answers to this chapter’s questions
      2. Problems
    84. Chapter 78. Using resampling to analyze data
      1. Answer to this chapter’s question
      2. Problems
    85. Chapter 79. Pricing stock options
      1. Answers to this chapter’s questions
      2. Problems
    86. Chapter 80. Determining customer value
      1. Answers to this chapter’s questions
      2. Problems
    87. Chapter 81. The economic order quantity inventory model
      1. Answers to this chapter’s questions
      2. Problems
    88. Chapter 82. Inventory modeling with uncertain demand
      1. Answers to this chapter’s questions
        1. The back-order case
        2. The lost-sales case
      2. Problems
    89. Chapter 83. Queuing theory: The mathematics of waiting in line
      1. Answers to this chapter’s questions
      2. Problems
    90. Chapter 84. Estimating a demand curve
      1. Answers to this chapter’s questions
      2. Problems
    91. Chapter 85. Pricing products by using tie-ins
      1. Answer to this chapter’s question
      2. Problems
    92. Chapter 86. Pricing products by using subjectively determined demand
      1. Answer to this chapter’s questions
      2. Problems
    93. Chapter 87. Nonlinear pricing
      1. Answers to this chapter’s questions
      2. Problems
    94. Chapter 88. Array formulas and functions
      1. Answers to this chapter’s questions
      2. Problems
    95. Chapter 89. Recording macros
      1. Answers to this chapter’s questions
      2. Problems
    96. Index
    97. About the author
    98. Code Snippets

    Product information

    • Title: Microsoft Excel 2016 Data Analysis and Business Modeling
    • Author(s): Wayne L. Winston
    • Release date: December 2016
    • Publisher(s): Microsoft Press
    • ISBN: 9781509304233