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Microsoft Excel 2019 Data Analysis and Business Modeling: (Business Skills)

Microsoft Excel 2019 Data Analysis and Business Modeling: (Business Skills)


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About the Book

Transform data into bottom-line results Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables and how to effectively build a relational data source inside an Excel workbook.

Table of Contents:

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


About the Author :
Wayne L. Winston is Professor Emeritus of Decision Sciences at the Indiana University School of Business. He has also taught at the University of Houston and Wake Forest. He has won more than 40 teaching awards and taught Excel modeling and analytics at many Fortune 500 companies, accounting firms, the U.S. Army, and the U.S. Navy.


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Product Details
  • ISBN-13: 9781509305889
  • Publisher: Microsoft Press,U.S.
  • Publisher Imprint: Microsoft Press
  • Height: 231 mm
  • No of Pages: 880
  • Series Title: Business Skills
  • Weight: 1340 gr
  • ISBN-10: 1509305882
  • Publisher Date: 22 Apr 2019
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 41 mm
  • Width: 188 mm


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