Download microsoft excel data analysis and business modeling

Название: Microsoft Excel 2019 Data Analysis and Business Modeling
Автор: Winston W.
Издательство: Microsoft Press
Год: 2018
Формат: PDF
Страниц: 880
Для сайта:

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Размер: 64 mb
Язык: английский

Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and 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.

Solve real business problems with Excel—and build your competitive advantage:
Quickly transition from Excel basics to sophisticated analytics
Use PowerQuery or Get & Transform to connect, combine, and refine data sources
Leverage Office 365’s new Geography and Stock data types and six new functions
Illuminate insights from geographic and temporal data with 3D Maps
Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts
Use Excel trend curves, multiple regression, and exponential smoothing
Delve into key financial, statistical, and time functions
Master all of Excel’s great charts
Quickly create forecasts from historical time-based data
Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams
Run Monte Carlo simulations on stock prices and bidding models
Learn about basic probability and Bayes’ Theorem
Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook
Automate repetitive analytics tasks by using macros

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by Wayne Winston

  • Length: 1168 pages
  • Edition: 7
  • Language: English
  • Publisher: Microsoft Press
  • Publication Date: 2021-12-28

Master business modeling and analysis techniques with Microsoft Excel and Office 365 and 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. A lot has changed in Office 365 since the previous edition. This new edition covers new functions (STOCKHISTORY, LET, LAMBDA, XLOOKUP) and new array functions. It also covers the new Data types that have been added. Finally, we’ve increased the coverage of Power Pivot , Macros, and Power Query.

Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel―and build your competitive advantage:

  • Quickly transition from Excel basics to sophisticated analytics
  • Use PowerQuery or Get & Transform to connect, combine, and refine data sources
  • Leverage Office 365’s new Geography and Stock data types and six new functions
  • Illuminate insights from geographic and temporal data with 3D Maps
  • Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts
  • Use Excel trend curves, multiple regression, and exponential smoothing
  • Delve into key financial, statistical, and time functions
  • Master all of Excel’s great charts
  • Quickly create forecasts from historical time-based data
  • Use Solver to optimize product mix, logistics, work schedules, and investments―and even rate sports teams
  • Run Monte Carlo simulations on stock prices and bidding models
  • Learn about basic probability and Bayes’ Theorem
  • Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook
  • Automate repetitive analytics tasks by using macros


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1 online resource (xi, 602 pages) :

Well known consultant, statistician, and business professor Wayne Winston teaches by example the best ways to use Microsoft Excel for data analysis, modeling, and decision making within real-world business scenarios

Includes index

1. Range Names — 2. Natural Language Range Names — 3. Lookup Functions — 4. The INDEX Function — 5. The MATCH Function — 6. Text Functions — 7. Dates and Date Functions — 8. Evaluating Investments with Net Present Value Criteria — 9. Internal Rate of Return — 10. Functions for Personal Financial Decisions: The PV, FV, PMT, PPMT, and IPMT Functions — 11. Circular References — 12. IF Statements — 13. The Paste Special Command — 14. The Auditing Tool — 15. Sensitivity Analysis with Data Tables — 16. The Goal Seek Command — 17. Using the Scenario Manager for Sensitivity Analysis — 18. Creating and Using Spinners for Sensitivity Analysis — 19. The COUNTIF, COUNT, COUNTA, and COUNTBLANK Functions — 20. The SUMIF Function — 21. The OFFSET Function — 22. The INDIRECT Function — 23. Conditional Formatting — 24. An Introduction to Optimization with the Excel Solver — 25. Using Solver to Determine the Optimal Product Mix — 26. Using Solver to Solve Transportation or Distribution Problems — 27. Using Solver to Schedule Your Workforce — 28. Using Solver for Capital Budgeting — 29. Using Solver for Financial Planning — 30. Using Solver to Rate Sports Teams — 31. Importing Text or Microsoft Word Data into Excel — 32. Importing Data from the Web into Excel — 33. Validating Data — 34. Summarizing Data with Histograms — 35. Summarizing Data with Descriptive Statistics — 36. Using PivotTables to Describe Data — 37. Summarizing Data with Database Statistical Functions — 38. Filtering Data — 39. Consolidating Data — 40. Creating Subtotals — 41. Estimating Straight Line Relationships — 42. Modeling Exponential Growth — 43. The Power Curve — 44. Using Correlations to Summarize Relationships — 45. Introduction to Multiple Regression — 46. Incorporating Qualitative Factors into Multiple Regression — 47. Modeling Nonlinearities and Interactions — 48. Analysis of Variance: One-Way ANOVA — 49. Randomized Blocks and Two-Way ANOVA — 50. Using Moving Averages to Understand Time Series — 51. Forecasting with Moving Averages — 52. Forecasting in the Presence of Special Events — 53. An Introduction to Random Variables — 54. The Binomial and Hypergeometric Random Variables — 55. The Poisson and Exponential Random Variable — 56. The Normal Random Variable — 57. Weibull and Beta Distributions: Modeling Machine Life and Duration of a Project — 58. Introduction to Monte Carlo Simulation — 59. Calculating an Optimal Bid — 60. Simulating Stock Prices and Asset Allocation Modeling — 61. Fun and Games: Simulating Gambling and Sporting Event Probabilities — 62. Using Resampling to Analyze Data — 63. Pricing Stock Options — 64. Determining Customer Value — 65. The Economic Order Quantity Inventory Model — 66. Determining the Reorder Point: How Low Should I Let My Inventory Level Go Before I Reorder? — 67. Queuing Theory: The Mathematics of Waiting in Line — 68. Estimating a Demand Curve — 69. Pricing Products with Tie-ins — 70. Pricing Products Using Subjectively Determined Demand — 71. Nonlinear Pricing — 72. Array Formulas and Functions — 73. Picking Your Fantasy Football Team

5th ed. — Microsoft Press, 2016. — 864 p. — ISBN: 9781509304219

Only sample files!

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

Книга Microsoft Excel 2016 Data Analysis and Business Modeling (5th Edition)Автор:  Wayne Winston 
Издательство: Microsoft Press

Год: December 19, 2016
Страниц: 864
Язык: английский
Формат:
ISBN: 1509304215

Аннотация:

 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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