Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365)

Häftad, Engelska, 2022

414 kr

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Beskrivning

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

Produktinformation

Utgivningsdatum:2022-02-26
Mått:188 x 232 x 48 mm
Vikt:1 800 g
Format:Häftad
Språk:Engelska
Serie:Business Skills
Antal sidor:1 168
Upplaga:7
Förlag:Pearson Education
ISBN:9780137613663

Utforska kategorier

Affärsapplikationer inom Data och IT

Mer om författaren

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.

Innehållsförteckning

CHAPTER 1 Basic worksheet modeling CHAPTER 2 Range names CHAPTER 3 Lookup functions CHAPTER 4 The INDEX function CHAPTER 5 The MATCH function CHAPTER 6 Text functions and Flash Fill CHAPTER 7 Dates and date functions CHAPTER 8 The net present value functions: NPV and XNPV CHAPTER 9 The internal rate of return: IRR, XIRR, and MIRR functions CHAPTER 10 More Excel financial functions CHAPTER 11 Circular references CHAPTER 12 IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions CHAPTER 13 Time and time functions CHAPTER 14 The Paste Special command CHAPTER 15 Three-dimensional formulas and hyperlinks CHAPTER 16 The auditing tool and the Inquire add-in CHAPTER 17 Sensitivity analysis with data tables CHAPTER 18 The Goal Seek command CHAPTER 19 Using the Scenario Manager for sensitivity analysis CHAPTER 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions CHAPTER 21 The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions CHAPTER 22 The OFFSET function CHAPTER 23 The INDIRECT function CHAPTER 24 Conditional formatting CHAPTER 25 Excel tables and table slicers CHAPTER 26 Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes CHAPTER 27 Importing data from a text file or document CHAPTER 28 The Power Query Editor CHAPTER 29 Excel's new data types CHAPTER 30 Summarizing data with histograms and Pareto charts CHAPTER 31 Summarizing data with descriptive statistics CHAPTER 32 Sorting in Excel CHAPTER 33 Filtering data and removing duplicates CHAPTER 34 Summarizing data with database statistical functions CHAPTER 35 Array formulas and functions CHAPTER 36 Excel's new dynamic array functions CHAPTER 37 Validating data CHAPTER 38 Using PivotTables and slicers to describe data CHAPTER 39 The Data Model CHAPTER 40 Power Pivot CHAPTER 41 Consolidating data CHAPTER 42 Creating subtotals CHAPTER 43 Basic charting CHAPTER 44 Advanced charting CHAPTER 45 Filled and 3D Maps CHAPTER 46 Sparklines CHAPTER 47 Estimating straight-line relationships CHAPTER 48 Modeling exponential growth CHAPTER 49 The power curve CHAPTER 50 Using correlations to summarize relationships CHAPTER 51 Introduction to multiple regression CHAPTER 52 Incorporating qualitative factors into multiple regression CHAPTER 53 Modeling nonlinearities and interactions CHAPTER 54 Analysis of variance: One-way ANOVA CHAPTER 55 Randomized blocks and two-way ANOVA CHAPTER 56 Using moving averages to understand time series CHAPTER 57 Ratio-to-moving-average forecast method CHAPTER 58 An introduction to probability CHAPTER 59 An introduction to random variables CHAPTER 60 The binomial, hypergeometric, and negative binomial random variables CHAPTER 61 The Poisson and exponential random variable CHAPTER 62 The normal random variable and Z-scores CHAPTER 63 Making probability statements from forecasts CHAPTER 64 Using the lognormal random variable to model stock prices CHAPTER 65 Importing past stock prices, exchange rates, and cryptocurrency prices with the STOCKHISTORY function CHAPTER 66 An introduction to optimization with Excel Solver CHAPTER 67 Using Solver to determine the optimal product mix CHAPTER 68 Using Solver to schedule your workforce CHAPTER 69 Using Solver to solve transportation or distribution problems CHAPTER 70 Using Solver for capital budgeting CHAPTER 71 Using Solver for financial planning CHAPTER 72 Using Solver to rate sports teams CHAPTER 73 The Winters method and the Forecast Sheet tool CHAPTER 74 Forecasting in the presence of special events CHAPTER 75 Warehouse location and the GRG Multistart and Evolutionary Solver engines CHAPTER 76 Penalties and the Evolutionary Solver CHAPTER 77 The traveling salesperson problem CHAPTER 78 Weibull and beta distributions: Modeling machine life and duration of a project CHAPTER 79 Introduction to Monte Carlo simulation CHAPTER 80 Calculating an optimal bid CHAPTER 81 Simulating stock prices and asset-allocation modeling CHAPTER 82 Fun and games: Simulating gambling and sporting-event probabilities CHAPTER 83 Using resampling to analyze data CHAPTER 84 Pricing stock options CHAPTER 85 Determining customer value CHAPTER 86 The economic order quantity inventory model CHAPTER 87 Inventory modeling with uncertain demand CHAPTER 88 Queuing theory: The mathematics of waiting in line CHAPTER 89 Estimating a demand curve CHAPTER 90 Pricing products by using tie-ins CHAPTER 91 Pricing products by using subjectively determined demand CHAPTER 92 Nonlinear pricing CHAPTER 93 Use Analyze Data to find patterns in your data CHAPTER 94 Recording macros CHAPTER 95 The LET and LAMBDA functions and the LAMBDA helper functions CHAPTER 96 Advanced sensitivity analysis

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09 februari 2022