Microsoft Excel Data Analysis and Business Modeling
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Microsoft Excel Data Analysis and Business Modeling

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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 advantageQuickly transition from Excel basics to sophisticated analyticsSummarize data by using PivotTables and Descriptive StatisticsUse Excel trend curves, multiple regression, and exponential smoothingMaster advanced functions such as OFFSET and INDIRECTDelve into key financial, statistical, and time functionsLeverage the new charts in Excel 2016 (including box and whisker and waterfall charts)Make charts more effective by using Power ViewTame complex optimizations by using Excel SolverRun Monte Carlo simulations on stock prices and bidding modelsWork with the AGGREGATE function and table slicersCreate PivotTables from data in different worksheets or workbooksLearn about basic probability and Bayes' TheoremAutomate repetitive tasks by using macrosshow more

Product details

  • Paperback | 864 pages
  • 187 x 229 x 45.72mm | 1,380g
  • Microsoft Press,U.S.
  • MICROSOFT PRESS
  • Boston, United States
  • English
  • 5th edition
  • 1509304215
  • 9781509304219
  • 5,498

About Wayne Winston

WAYNE L. WINSTON is Professor Emeritus of Decision Sciences at Indiana University's Kelley School of Business and Visiting Professor of Decision and Information Sciences at University of Houston Bauer College of Business. He has earned numerous MBA teaching awards. For more than 20 years, he has taught clients at Fortune 500 companies, various accounting groups, the US Navy, and the US Army how to use Excel to make smarter business decisions. Wayne and his business partner Jeff Sagarin developed the player-statistics tracking and rating system used by the Dallas Mavericks professional basketball team. He is also a two time Jeopardy! champion.show more

Table of contents

Chapter 1 Basic spreadsheet modeling Chapter 2 Range names Chapter 3 Lookup functions Chapter 4 The INDEX function Chapter 5 The MATCH function Chapter 6 Text functions Chapter 7 Dates and date functions Chapter 8 Evaluating investment by using net present value criteria Chapter 9 Internal rate of return Chapter 10 More Excel financial functions Chapter 11 Circular references Chapter 12 IF statements Chapter 13 Time and time functions Chapter 14 The Paste Special command Chapter 15 Three-dimensional formulas and hyperlinks Chapter 16 The auditing tool Chapter 17 Sensitivity analysis with data tables Chapter 18 The Goal Seek command Chapter 19 Using the Scenario Manager for sensitivity analysis Chapter20The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions Chapter 21 The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions Chapter 22 The OFFSET function Chapter 23 The INDIRECT function Chapter 24 Conditional formatting Chapter 25 Sorting in Excel Chapter 26 Tables Chapter 27 Spin buttons, scroll bars, option buttons, checkboxes, combo boxes, and group list boxes Chapter 28 The analytics revolution Chapter 29 An introduction to optimization with Excel Solver Chapter 30 Using Solver to determine the optimal product mix Chapter 31 Using Solver to schedule your workforce Chapter 32 Using Solver to solve transportation or distribution problems Chapter 33 Using Solver for capital budgeting Chapter 34 Using Solver for financial planning Chapter 35 Using Solver to rate sports teams Chapter 36 Warehouse location and the GRG Multistart and Evolutionary Solver engines Chapter 37 Penalties and the Evolutionary Solver Chapter 38 The traveling salesperson problem Chapter 39 Importing data from a text file or document Chapter 40 Validating data Chapter 41 Summarizing data by using histograms and Pareto charts Chapter 42 Summarizing data by using descriptive statistics Chapter 43 Using PivotTables and slicers to describe data Chapter 44 The Data Model Chapter 45 Power Pivot Chapter 46 Power View and 3D Maps Chapter 47 Sparklines Chapter 48 Summarizing data with database statistical functions Chapter 49 Filtering data and removing duplicates Chapter 50 Consolidating data Chapter 51 Creating subtotals Chapter 52 Charting tricks Chapter 53 Estimating straight-line relationships Chapter 54 Modeling exponential growth Chapter 55 The power curve Chapter 56 Using correlations to summarize relationships Chapter 57 Introduction to multiple regression Chapter 58 Incorporating qualitative factors into multiple regression Chapter 59 Modeling nonlinearities and interactions Chapter 60 Analysis of variance: One-way ANOVA Chapter 61 Randomized blocks and two-way ANOVA Chapter 62 Using moving averages to understand time series Chapter 63 Winters method Chapter 64 Ratio-to-moving-average forecast method Chapter 65 Forecasting in the presence of special events Chapter 66 An introduction to probability Chapter 67 An introduction to random variables Chapter 68 The binomial, hypergeometric, and negative binomial random variables Chapter 69 The Poisson and exponential random variable Chapter 70 The normal random variable and Z-scores Chapter 71 Weibull and beta distributions: Modeling machine life and duration of a project Chapter 72 Making probability statements from forecasts Chapter 73 Using the lognormal random variable to model stock prices Chapter 74 Introduction to Monte Carlo simulation Chapter 75 Calculating an optimal bid Chapter 76 Simulating stock prices and asset-allocation modeling Chapter 77 Fun and games: Simulating gambling and sporting-event probabilities Chapter 78 Using resampling to analyze data Chapter 79 Pricing stock options Chapter 80 Determining customer value Chapter 81 The economic order quantity inventory model Chapter 82 Inventory modeling with uncertain demand Chapter 83 Queuing theory: The mathematics of waiting in line Chapter 84 Estimating a demand curve Chapter 85 Pricing products by using tie-ins Chapter 86 Pricing products by using subjectively determined demand Chapter 87 Nonlinear pricing Chapter 88 Array formulas and functions Chapter 89 Recording macrosshow more

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104 ratings
3.92 out of 5 stars
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4 39% (41)
3 20% (21)
2 3% (3)
1 5% (5)
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