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E-raamat: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365)

  • Formaat: 1168 pages
  • Sari: Business Skills
  • Ilmumisaeg: 17-Dec-2021
  • Kirjastus: Addison Wesley
  • Keel: eng
  • ISBN-13: 9780137613779
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  • Formaat: 1168 pages
  • Sari: Business Skills
  • Ilmumisaeg: 17-Dec-2021
  • Kirjastus: Addison Wesley
  • Keel: eng
  • ISBN-13: 9780137613779
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Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston’s hands-on, scenario-focused guide helps you use today’s Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts.

 

Solve real problems with Microsoft Excel—and build your competitive advantage

  • Quickly transition from Excel basics to sophisticated analytics
  • Use recent Power Query enhancements to connect, combine, and transform data sources more effectively
  • Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA
  • Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music
  • Build more sophisticated and compelling charts
  • Use the new XLOOKUP function to revolutionize your lookup formulas
  • Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries
  • Illuminate insights from geographic and temporal data with 3D Maps
  • Improve decision-making with probability, Bayes’ theorem, and Monte Carlo simulation and scenarios
  • Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics
  • Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook



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
About the Author xxiii
Introduction xxv
Chapter 1 Basic worksheet modeling
1(10)
Answers to this chapter's questions
1(8)
Problems
9(2)
Chapter 2 Range names
11(14)
How can I create named ranges?
11(6)
Using the Name box to create a range name
12(1)
Creating named ranges using the Create from Selection option
13(2)
Creating range names using the Define Name option
15(1)
The Name Manager
16(1)
Answers to this chapter's questions
17(6)
Remarks
23(1)
Problems
23(2)
Chapter 3 Lookup functions
25(14)
Syntax of the lookup functions
25(2)
VLOOKUP syntax
25(1)
HLOOKUP syntax
26(1)
XLOOKUP syntax
26(1)
Answers to this chapter's questions
27(8)
Problems
35(4)
Chapter 4 The INDEX function
39(4)
Syntax of the INDEX function
39(1)
Answers to this chapter's questions
39(2)
Problems
41(2)
Chapter 5 The MATCH function
43(8)
Syntax of the MATCH function
43(2)
Answers to this chapter's questions
45(4)
Problems
49(2)
Chapter 6 Text functions and Flash Fill
51(22)
Text function syntax
52(4)
Answers to this chapter's questions
56(13)
Problems
69(4)
Chapter 7 Dates and date functions
73(12)
Answers to this chapter's questions
74(8)
Problems
82(3)
Chapter 8 The net present value functions: NPV and XNPV
85(8)
Answers to this chapter's questions
86(4)
Problems
90(3)
Chapter 9 The internal rate of return: IRR, XIRR, and MIRR functions
93(8)
Answers to this chapter's questions
94(4)
Problems
98(3)
Chapter 10 More Excel financial functions
101(16)
Answers to this chapter's questions
101(11)
Problems
112(5)
Chapter 11 Circular references
117(6)
Answers to this chapter's questions
117(3)
Problems
120(3)
Chapter 12 IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions
123(26)
Answers to this chapter's questions
124(19)
Problems
143(6)
Chapter 13 Time and time functions
149(8)
Answers to this chapter's questions
150(5)
Problems
155(2)
Chapter 14 The Paste Special command
157(8)
Answers to this chapter's questions
157(6)
Problems
163(2)
Chapter 15 Three-dimensional formulas and hyperlinks
165(6)
Answers to this chapter's questions
165(4)
Problems
169(2)
Chapter 16 The auditing tool and the Inquire add-in
171(12)
Excel auditing options
172(3)
Show Formulas
172(1)
Error Checking
173(1)
Watch Window
174(1)
Trace Precedents, Trace Dependents, and Remove Arrows
174(1)
Answers to this chapter's questions
175(7)
Problems
182(1)
Chapter 17 Sensitivity analysis with data tables
183(14)
Answers to this chapter's questions
184(8)
Problems
192(5)
Chapter 18 The Goal Seek command
197(6)
Answers to this chapter's questions
198(3)
Problems
201(2)
Chapter 19 Using the Scenario Manager for sensitivity analysis
203(6)
Answer to this chapter's question
203(4)
Remarks
207(1)
Problems
207(2)
Chapter 20 The Countif, Countifs, Count, Counta, and Countblank Functions
209(8)
Answers to this chapter's questions
211(3)
Remarks
214(1)
Problems
214(3)
Chapter 21 The Sumif, Averageif, Sumifs. Averageifs, Maxifs, and Minifs Functions
217(8)
Answers to this chapter's questions
218(4)
Problems
222(3)
Chapter 22 The Offset Function
225(14)
Answers to this chapter's questions
226(10)
Remarks
236(1)
Problems
236(3)
Chapter 23 The Indirect Function
239(12)
Answers to this chapter's questions
240(8)
Problems
248(3)
Chapter 24 Conditional Formatting
251(32)
Answers to this chapter's questions
253(25)
Problems
278(5)
Chapter 25 Excel tables and table slicers
283(18)
Answers to this chapter's questions
283(15)
Problems
298(3)
Chapter 26 Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes
301(14)
Answers to this chapter's questions
302(11)
Problems
313(2)
Chapter 27 Importing data from a text file or document
315(6)
Answers to this chapter's question
315(5)
Problems
320(1)
Chapter 28 The Power Query Editor
321(22)
Answers to this chapter's questions
323(17)
Problems
340(3)
Chapter 29 Excel's new data types
343(20)
Answers to this chapter's questions
347(15)
Problems
362(1)
Chapter 30 Summarizing data with histograms and Pareto charts
363(14)
Answers to this chapter's questions
363(13)
Problems
376(1)
Chapter 31 Summarizing data with descriptive statistics
377(20)
Answers to this chapter's questions
378(15)
Problems
393(4)
Chapter 32 Sorting in Excel
397(14)
Answers to this chapter's questions
398(11)
Problems
409(2)
Chapter 33 Filtering data and removing duplicates
411(18)
Answers to this chapter's questions
413(15)
Problems
428(1)
Chapter 34 Summarizing data with database statistical functions
429(12)
Answers to this chapter's questions
431(7)
Problems
438(3)
Chapter 35 Array formulas and functions
441(20)
Answers to this chapter's questions
442(16)
Problems
458(3)
Chapter 36 Excel's new dynamic array functions
461(12)
Answers to this chapter's questions
461(10)
Problems
471(2)
Chapter 37 Validating data
473(10)
Answers to this chapter's questions
473(8)
Remarks
481(1)
Problems
481(2)
Chapter 38 Using PivotTables and slicers to describe data
483(58)
Answers to this chapter's questions
485(51)
Problems
536(5)
Chapter 39 The Data Model
541(10)
Answers to this chapter's questions
542(8)
Problems
550(1)
Chapter 40 Power Pivot
551(20)
Answers to this chapter's questions
552(18)
Problems
570(1)
Chapter 41 Consolidating data
571(6)
Answer to this chapter's question
571(4)
Problems
575(2)
Chapter 42 Creating subtotals
577(8)
Answers to this chapter's questions
577(6)
Problems
583(2)
Chapter 43 Basic charting
585(32)
Answers to this chapter's questions
586(28)
Problems
614(3)
Chapter 44 Advanced charting
617(26)
Answers to this chapter's questions
618(23)
Problems
641(2)
Chapter 45 Filled and 3D Maps
643(16)
Questions answered in this chapter
643(14)
Problems
657(2)
Chapter 46 Sparklines
659(6)
Answers to this chapter's questions
659(5)
Problems
664(1)
Chapter 47 Estimating straight-line relationships
665(10)
Answers to this chapter's questions
667(5)
Problems
672(3)
Chapter 48 Modeling exponential growth
675(6)
Answers to this chapter's questions
676(4)
Problems
680(1)
Chapter 49 The power curve
681(8)
Answers to this chapter's questions
684(3)
Problems
687(2)
Chapter 50 Using correlations to summarize relationships
689(8)
Answers to this chapter's questions
691(4)
Problems
695(2)
Chapter 51 Introduction to multiple regression
697(8)
Answers to this chapter's questions
697(6)
Problems
703(2)
Chapter 52 Incorporating qualitative factors into multiple regression
705(14)
Answers to this chapter's questions
705(13)
Problems
718(1)
Chapter 53 Modeling nonlinearities and interactions
719(8)
Answers to this chapter's questions
719(4)
Problems for
Chapters 51-53
723(4)
Chapter 54 Analysis of variance: One-way ANOVA
727(6)
Answers to this chapter's questions
728(3)
Problems
731(2)
Chapter 55 Randomized blocks and two-way ANOVA
733(12)
Answers to this chapter's questions
734(8)
Problems
742(3)
Chapter 56 Using moving averages to understand time series
745(4)
Answer to this chapter's question
745(2)
Problem
747(2)
Chapter 57 Ratio-to-moving-average forecast method
749(4)
Answers to this chapter's questions
749(3)
Problem
752(1)
Chapter 58 An introduction to probability
753(10)
Answers to this chapter's questions
753(6)
Problems
759(4)
Chapter 59 An introduction to random variables
763(6)
Answers to this chapter's questions
763(4)
Problems
767(2)
Chapter 60 The binomial, hypergeometric, and negative binomial random variables
769(8)
Answers to this chapter's questions
770(5)
Problems
775(2)
Chapter 61 The Poisson and exponential random variable
777(4)
Answers to this chapter's questions
777(3)
Problems
780(1)
Chapter 62 The normal random variable and Z-scores
781(10)
Answers to this chapter's questions
781(8)
Problems
789(2)
Chapter 63 Making probability statements from forecasts
791(4)
Answers to this chapter's questions
792(1)
Problems
793(2)
Chapter 64 Using the lognormal random variable to model stock prices
795(4)
Answers to this chapter's questions
795(3)
Remarks
798(1)
Problems
798(1)
Chapter 65 Importing past stock prices, exchange rates, and cryptocurrency prices with the STOCKHISTORY function
799(8)
Answers to this chapter's questions
799(7)
Problems
806(1)
Chapter 66 An introduction to optimization with Excel Solver
807(6)
Answers to this chapter's questions
807(4)
Problems
811(2)
Chapter 67 Using Solver to determine the optimal product mix
813(12)
Answers to this chapter's questions
813(9)
Problems
822(3)
Chapter 68 Using Solver to schedule your workforce
825(6)
Answers to this chapter's question
825(2)
Problems
827(4)
Chapter 69 Using Solver to solve transportation or distribution problems
831(6)
Answer to this chapter's question
831(3)
Problems
834(3)
Chapter 70 Using Solver for capital budgeting
837(8)
Answer to this chapter's question
837(5)
Problems
842(3)
Chapter 71 Using Solver for financial planning
845(8)
Answers to this chapter's questions
845(5)
Problems
850(3)
Chapter 72 Using Solver to rate sports teams
853(6)
Answer to this chapter's question
854(2)
Problems
856(3)
Chapter 73 The Winters method and the Forecast Sheet tool
859(10)
Answers to this chapter's questions
859(7)
Remarks
866(1)
Problems
867(2)
Chapter 74 Forecasting in the presence of special events
869(8)
Answers to this chapter's questions
869(7)
Problems
876(1)
Chapter 75 Warehouse location and the GRG Multistart and Evolutionary Solver engines
877(12)
Answers to this chapter's questions
877(10)
Problems
887(2)
Chapter 76 Penalties and the Evolutionary Solver
889(6)
Answers to this chapter's questions
890(3)
Problems
893(2)
Chapter 77 The traveling salesperson problem
895(6)
Answers to this chapter's questions
895(3)
Problems
898(3)
Chapter 78 Weibull and beta distributions: Modeling machine life and duration of a project
901(6)
Answers to this chapter's questions
901(5)
Problems
906(1)
Chapter 79 Introduction to Monte Carlo simulation
907(12)
Answers to this chapter's questions
908(8)
Problems
916(3)
Chapter 80 Calculating an optimal bid
919(6)
Answers to this chapter's questions
919(3)
Problems
922(3)
Chapter 81 Simulating stock prices and asset-allocation modeling
925(12)
Answers to this chapter's questions
926(8)
Problems
934(3)
Chapter 82 Fun and games: Simulating gambling and sporting-event probabilities
937(10)
Answers to this chapter's questions
937(8)
Problems
945(2)
Chapter 83 Using resampling to analyze data
947(6)
Answer to this chapter's question
947(3)
Problems
950(3)
Chapter 84 Pricing stock options
953(14)
Answers to this chapter's questions
954(11)
Problems
965(2)
Chapter 85 Determining customer value
967(6)
Answers to this chapter's questions
967(5)
Problems
972(1)
Chapter 86 The economic order quantity inventory model
973(6)
Answers to this chapter's questions
973(4)
Problems
977(2)
Chapter 87 Inventory modeling with uncertain demand
979(8)
Answers to this chapter's questions
980(5)
Problems
985(2)
Chapter 88 Queuing theory: The mathematics of waiting in line
987(6)
Answers to this chapter's questions
987(5)
Problems
992(1)
Chapter 89 Estimating a demand curve
993(6)
Answers to this chapter's questions
993(5)
Problems
998(1)
Chapter 90 Pricing products by using tie-ins
999(6)
Answer to this chapter's question
999(3)
Problems
1002(3)
Chapter 91 Pricing products by using subjectively determined demand
1005(6)
Answers to this chapter's questions
1005(4)
Problems
1009(2)
Chapter 92 Nonlinear pricing
1011(8)
Answers to this chapter's questions
1012(6)
Problems
1018(1)
Chapter 93 Use Analyze Data to find patterns in your data
1019(12)
Answers to this chapter's questions
1020(8)
Problems
1028(3)
Chapter 94 Recording macros
1031(18)
Answers to this chapter's questions
1032(15)
Problems
1047(2)
Chapter 95 The LET and LAMBDA functions and the LAMBDA helper functions
1049(14)
Answers to this chapter's questions
1050(10)
Problems
1060(3)
Chapter 96 Advanced sensitivity analysis
1063(4)
Answer to this chapter's question
1063(2)
Problems
1065(2)
Index 1067
Wayne L. Winston is Professor Emeritus of Decision Sciences at the Indiana University School of Business. He has also taught at the University of Houston and Wake Forest. He has won more than 40 teaching awards and taught Excel modeling and analytics at many Fortune 500 companies, accounting firms, the U.S. Army, and the U.S. Navy. He is a two-time Jeopardy! champion, and also is a co-developer of a player tracking system utilized by Mark Cuban and the Dallas Mavericks.