Microsoft Excel Data Analysis and Business Modeling (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
864
Utgivningsdatum
2017-01-19
Upplaga
5
Förlag
Microsoft Press
Dimensioner
234 x 196 x 50 mm
Vikt
1378 g
Antal komponenter
1
ISBN
9781509304219

Microsoft Excel Data Analysis and Business Modeling

av Wayne Winston
Häftad,  Engelska, 2017-01-19
390
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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 Excels 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 youre fully up to speed.

Solve real business problems with Exceland 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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Övrig information

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.

Innehållsförteckning

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, check

boxes, 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 Su...

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