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Microsoft Excel数据Analysis and Business Modeling (Office 2021 and Microsoft 365), 7th Edition

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About

Features

  • Hands-on, scenario-focused, and 100% practical
  • Updated for Excel's newest functionality
  • New spreadsheet models help beginner-to-intermediate Excel users move to more advanced techniques
  • Adds new problems with solutions

Description

  • Copyright 2022
  • Pages: 1168
  • Edition: 7th
  • eBook (Watermarked)
  • ISBN-10: 0-13-761376-8
  • ISBN-13: 978-0-13-761376-2

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winstons hands-on, scenario-focused guide helps you use todays 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 Exceland 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
  • 使用新数据类型导入数据包括股票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

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Table of Contents

土地干裂ER 1 Basic worksheet modeling

第二章范围名称

土地干裂ER 3 Lookup functions

土地干裂ER 4 The INDEX function

土地干裂ER 5 The MATCH function

土地干裂ER 6 Text functions and Flash Fill

土地干裂ER 7 Dates and date functions

土地干裂ER 8 The net present value functions: NPV and XNPV

土地干裂ER 9 The internal rate of return: IRR, XIRR, and MIRR functions

土地干裂ER 10 More Excel financial functions

土地干裂ER 11 Circular references

土地干裂ER 12 IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions

土地干裂ER 13 Time and time functions

土地干裂ER 14 The Paste Special command

土地干裂ER 15 Three-dimensional formulas and hyperlinks

土地干裂ER 16 The auditing tool and the Inquire add-in

土地干裂ER 17 Sensitivity analysis with data tables

土地干裂ER 18 The Goal Seek command

土地干裂ER 19 Using the Scenario Manager for sensitivity analysis

土地干裂ER 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions

土地干裂ER 21 The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions

土地干裂ER 22 The OFFSET function

土地干裂ER 23 The INDIRECT function

土地干裂ER 24 Conditional formatting

土地干裂ER 25 Excel tables and table slicers

土地干裂ER 26 Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes

土地干裂ER 27 Importing data from a text file or document

土地干裂ER 28 The Power Query Editor

土地干裂ER 29 Excels new data types

土地干裂ER 30 Summarizing data with histograms and Pareto charts

土地干裂ER 31 Summarizing data with descriptive statistics

土地干裂ER 32 Sorting in Excel

土地干裂ER 33 Filtering data and removing duplicates

土地干裂ER 34 Summarizing data with database statistical functions

土地干裂ER 35 Array formulas and functions

土地干裂ER 36 Excels new dynamic array functions

土地干裂ER 37 Validating data

土地干裂ER 38 Using PivotTables and slicers to describe data

土地干裂ER 39 The Data Model

土地干裂ER 40 Power Pivot

土地干裂ER 41 Consolidating data

土地干裂ER 42 Creating subtotals

土地干裂ER 43 Basic charting

土地干裂ER 44 Advanced charting

土地干裂ER 45 Filled and 3D Maps

土地干裂ER 46 Sparklines

土地干裂ER 47 Estimating straight-line relationships

土地干裂ER 48 Modeling exponential growth

土地干裂ER 49 The power curve

土地干裂ER 50 Using correlations to summarize relationships

土地干裂ER 51 Introduction to multiple regression

土地干裂ER 52 Incorporating qualitative factors into multiple regression

土地干裂ER 53 Modeling nonlinearities and interactions

土地干裂ER 54 Analysis of variance: One-way ANOVA

土地干裂ER 55 Randomized blocks and two-way ANOVA

土地干裂ER 56 Using moving averages to understand time series

土地干裂ER 57 Ratio-to-moving-average forecast method

土地干裂ER 58 An introduction to probability

土地干裂ER 59 An introduction to random variables

土地干裂ER 60 The binomial, hypergeometric, and negative binomial random variables

土地干裂ER 61 The Poisson and exponential random variable

土地干裂ER 62 The normal random variable and Z-scores

土地干裂ER 63 Making probability statements from forecasts

土地干裂ER 64 Using the lognormal random variable to model stock prices

土地干裂ER 65 Importing past stock prices, exchange rates, and cryptocurrency prices with the STOCKHISTORY function

土地干裂ER 66 An introduction to optimization with Excel Solver

土地干裂ER 67 Using Solver to determine the optimal product mix

土地干裂ER 68 Using Solver to schedule your workforce

土地干裂ER 69 Using Solver to solve transportation or distribution problems

土地干裂ER 70 Using Solver for capital budgeting

土地干裂ER 71 Using Solver for financial planning

土地干裂ER 72 Using Solver to rate sports teams

73年冬天法和预测Sh章eet tool

土地干裂ER 74 Forecasting in the presence of special events

土地干裂ER 75 Warehouse location and the GRG Multistart and Evolutionary Solver engines

土地干裂ER 76 Penalties and the Evolutionary Solver

土地干裂ER 77 The traveling salesperson problem

土地干裂ER 78 Weibull and beta distributions: Modeling machine life and duration of a project

土地干裂ER 79 Introduction to Monte Carlo simulation

土地干裂ER 80 Calculating an optimal bid

土地干裂ER 81 Simulating stock prices and asset-allocation modeling

土地干裂ER 82 Fun and games: Simulating gambling and sporting-event probabilities

土地干裂ER 83 Using resampling to analyze data

土地干裂ER 84 Pricing stock options

土地干裂ER 85 Determining customer value

土地干裂ER 86 The economic order quantity inventory model

土地干裂ER 87 Inventory modeling with uncertain demand

土地干裂ER 88 Queuing theory: The mathematics of waiting in line

土地干裂ER 89 Estimating a demand curve

土地干裂ER 90 Pricing products by using tie-ins

土地干裂ER 91 Pricing products by using subjectively determined demand

土地干裂ER 92 Nonlinear pricing

土地干裂ER 93 Use Analyze Data to find patterns in your data

土地干裂ER 94 Recording macros

土地干裂ER 95 The LET and LAMBDA functions and the LAMBDA helper functions

土地干裂ER 96 Advanced sensitivity analysis

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