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  • Winston, Wayne L., author.
     
     Subjects
     
  •  
  • Microsoft Excel (Computer file)
     
  •  
  • Decision making -- Computer programs.
     
  •  
  • Industrial management -- Statistical methods -- Computer programs.
     
  •  
  • Business -- Computer programs.
     
  •  
  • Electronic spreadsheets.
     
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  •  Winston, Wayne L., author.
     
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  •  Microsoft Excel 2019...
     
     
     
     MARC Display
    Microsoft Excel 2019 : data analysis and business modeling / Wayne L. Winston.
    by Winston, Wayne L., author.
    View full image
    [New York, New York] : Published with the authorization of Microsoft Corporation by Pearson Education, Incorporated, [2019]
    Subjects
  • Microsoft Excel (Computer file)
  •  
  • Decision making -- Computer programs.
  •  
  • Industrial management -- Statistical methods -- Computer programs.
  •  
  • Business -- Computer programs.
  •  
  • Electronic spreadsheets.
  • ISBN: 
    9781509305889 (paperback)
    1509305882 (paperback)
    Description: 
    xxvii, 850 pages : illustrations ; 23 cm
    Edition: 
    Sixth edition.
    Contents: 
    Basic worksheet modeling -- Range names -- Lookup functions -- The INDEX function -- The MATCH function -- Text functions and Flash Fill -- Dates and date functions -- NPV and XNPV functions -- IRR, XIRR, and MIRR functions -- More Excel financial functions -- Circular references -- IF, IFERROR, IFS, CHOOSE, and SWITCH functions -- Time and time functions -- The Paste Special command -- Three-dimensional formulas and hyperlinks -- The auding tool and the Inquire add-in -- Sensitivity analysis with data tables -- The Goal Seek command -- Using the Scenario Manager for sensitivity analysis -- The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions -- The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions -- The OFFSET function -- The INDIRECT function -- Conditional formatting -- Sorting in Excel -- Excel Tables and table slicers -- Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes -- The analytics revolution -- An introduction to optimization with Excel Solver -- Using Solver to determine the optimal product mix -- Using Solver to schedule your workforce -- Using Solver to solve transportation or distribution problems -- Using Solver for capital budgeting -- Using Solver for financial planning -- Using Solver to rate sports teams -- Warehouse location and the GRG Multistart and Evolutionary Solver engines -- Penalties and the Evolutionary Solver -- The traveling salesperson problem -- Importing data from a text file or document -- Get & Transform -- Geography and Stock data types -- Validating data -- Summarizing data by using histograms and Pareto charts -- Summarizing data by using descriptive statistics -- Using pivot tables and slicers to describe data -- The Data Model -- Power Pivot -- Filled and 3D Power Maps -- Sparklines -- Summarizing data with database statistical functions -- Filtering data and removing duplicates -- Consolidating data -- Creating subtotals -- Charting tricks -- Estimating straight-line relationships -- Modeling exponential growth -- The power curve using correlations to summarize relationships -- Introduction to multiple regression -- Incorprating qualitative factors into multiple regression -- Modeling nonlinearities and interactions -- Analysis of variance: One-way ANOVA -- Randomized blocks and two-way ANOVA -- Using moving averages to understand time series -- Winters method and the Forecast Sheet -- Ratio-to-moving-average forecast method -- Forecasting in the presence of special events -- An introduction to probability -- An introduction to random variables -- The binomial, hypergeometric, and negative binomial random variables -- The Poisson and exponential random variable -- The normal random variable and Z-scores -- Weibull and beta distributions: Modeling machine life and duration of a project -- Making probability statements from forecasts -- Using the lognormal random variaable to model stock prices -- Importing historical stock data into Excel -- Introduction to Monte Carlo simulation -- Calculating an optimal bid -- Simulating stock prices and asset-allocation modeling -- Fun and games: Simulating gambling and sporting event probabilities -- Using resampling to analyze data -- Pricing stock options -- Determining customer value -- The economic order quantity inventory model -- Inventory modeling with uncertain demand -- Queuing theory: The mathematics of waiting in line -- Estimating a demand curve -- Pricing products by using tie-ins -- Pricing products by using subjectively determinded demand -- Nonlinear pricing -- Array formulas and functions -- Recording macros -- Advanced sensitivity analysis.
    Summary: 
    Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 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. (Publisher)
    General Note: 
    "Microsoft Press"--Back cover.
    Includes index.
    Add to my list 
    Copy/Holding information
    LocationCollectionCall No.Status 
    McLennan Community College LibraryCirculating CollectionHF5548.4 .M523 W567 2019Checked InAdd Copy to MyList

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