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Microsoft Excel 2016 Data analysis and business modeling Wayne L. Winston

By: Winston, Wayne L [autor]
Publisher: Estados Unidos Microsoft Press ©2016Description: xxvi, 837 páginas. ilustraciones., figuras. 23 cmContent type: Media type: Carrier type: ISBN: 9781509304219Subject(s): Métodos estadísticos | Sistematización de datos | Microsoft excel -- [programas para computador]DDC classification: 005.54
Contents:
Basic spreadsheet modeling. - - Range names. - - Lookup functions. - - The index function. - - The match function. - - Text functions. - - Dates and date functions. - - Evaluating investment by using net present value criteria. - - Internal rate of return. - - More Excel financial functions. - - Circular references. - - If statements. - - Time and time functions. - - The Paste Special command. - - Three-dimensional formulas and hyperlinks. - - The auditing tool. - - 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, and averageifs functions. - - The Offset function. - - The Indirect function. - - Conditional formatting. - - Sorting in Excel. - - Tables. - - Spin buttons, scroll bars, option buttons, checkboxes, 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. - - Validating data. - - Summarizing data by using histograms and Pareto charts. - - Summarizing data by using descriptive statistics. - - Using PivotTables and slicers to describe data. - - The Data Model. - - Power Pivot. - - Power View and D 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. - - Incorporating 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. - - 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 variable to model stock prices. - - 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 determined demand. - - Nonlinear pricing. - - Array formulas and functions. - - Recording macros.
Summary: 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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Item type Current location Collection Call number Vol info Copy number Status Date due Barcode Item holds
Book Book B. Campus los Cerros
Colección general
Colección general 005.54 W783 (Browse shelf) 2016 1 Available 0000055307
Total holds: 0

Enhanced descriptions from Syndetics:

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.</p> <br></p> Solve real business problems with Excel--and build your competitive advantage </p> 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 </p>

Include index

Basic spreadsheet modeling. - - Range names. - - Lookup functions. - - The index function. - - The match function. - - Text functions. - - Dates and date functions. - - Evaluating investment by using net present value criteria. - - Internal rate of return. - - More Excel financial functions. - - Circular references. - - If statements. - - Time and time functions. - - The Paste Special command. - - Three-dimensional formulas and hyperlinks. - - The auditing tool. - - 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, and averageifs functions. - - The Offset function. - - The Indirect function. - - Conditional formatting. - - Sorting in Excel. - - Tables. - - Spin buttons, scroll bars, option buttons, checkboxes, 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. - - Validating data. - - Summarizing data by using histograms and Pareto charts. - - Summarizing data by using descriptive statistics. - - Using PivotTables and slicers to describe data. - - The Data Model. - - Power Pivot. - - Power View and D 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. - - Incorporating 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. - - 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 variable to model stock prices. - - 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 determined demand. - - Nonlinear pricing. - - Array formulas and functions. - - Recording macros.

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"

Author notes provided by Syndetics

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.

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