Microsoft Excel 2019 Data Analysis and Business Modeling (6th Edition) (Business Skills)
Authors: Wayne Winston
ISBN-10: 1509305882
ISBN-13: 9781509305889
Edition 版次: 6
Publication Date 出版日期: 2019-04-28
Print Length 页数: 880 pages
Book Description
By finelybook
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
contents
About the author
Introuuction
Chapter 1.Basic workshet modeing
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&.NPV and XNPV functions
Chapter 9.IRRXIRR，and MIRR functions
Chapter 10.More Excel financial functions
Chapter 1.CIrcular references
Chapter 12.IF，IFERROR IFS，CHOOSE，and SWITCH functions
chanter 14 The pate saeridl -ommand
Chapter 15.Three-dimensional formulas and hyperinks
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
chanter 26 sotagin Eeel
Chapter 26.Excel tables and table slicers
Chapter 27.Spin buttons，scrollbars，option buttons，check boxes combo boxes，and group list bosxes
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 Sover to solve transportation or distitbution problems
Chapter -s.Vsing soiver tor captal budgeting
chapter as Using solver to rate spots team:
Chapter 36.Warehouselocation and the cRG Mulistart and Evolutionary Sover 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.Get & Transform
Chapter 41.Geography and Stock data types
chapter 42.Vaidaing data
Chapter 43.Summarizing data by using histograms and Pareto charts
Chapter 44.Summarizing data by using descriptive statistics
Chapter 45.Using pivot tables and slicers to describe data
Chapter 46.The Data Model
Chapter 47.Power Pivot
Chapter 48.Filled and 3D Power Maps
Chapter 49.Sparklines
chapter 50.Summarizing data with database statistical functions
Chapter 51.Fiering data and removing duplicates
Chapter 52.Consolidating data
Chapter 53.Creating subtotals
Chapter 54.Charting tricks
Chapter 55.Estimating straight-line relationships
Chapter 56.Modeling exponential growth
Chapter 57.The power curve
Chapter 58.Using correlations to summarize relationships
Chapter 59.Introduction to multiple regression
Chapter 60.Incorporating qualitative factors into mutiple regression
Chapter 61.Modeling nonlinearities and interactions
Chapter 62.Analysis of variance: One-way ANOVA
Chapter 63.Randomized blocks and two-way ANOVA
Chapter 64.Using moving averages to understand time series
Chapter 67.Forecasting in the presence of special events
Chapter 6. An introduction to probability
Chapter 69.An introduction to random variables
Chapter 70.The binomial， hypergeometric，and negative binomial random variables
Chapter 71.The Poison and exponential random variable
Chapter 72.The normal random variable and Z-scores
Chapter 73.Webull and beta distributions.Modeling machine life and duration of a project
Chapter 74.Making probabilty statemernts from forecasts
Chapter 75.using thelognormal randomvariable to model stock pices
chapter 77 Introdurtion to Monte Carlo cimulation
Chapter 7A.Calculating an optimal bd
Chapter 79.Simulating stock prices and asset-allocation modeling
Chapter 80.Fun and games: Simulating gambling and sporting event probabilities
Chapter 81.Using resampling to analyze data
Chapter 82.Pricing stock options
Chapter 83.Determining customer value
Chapter 84.The economic order quantity inventory model
Chapter 85.Inventory modeling with uncertain demand
Chapter 86.Queuing theory: The mathematics of waiting in line
Chapter 87.Estimating a demand curve
Chapter 88.Pricing products by using tie-ins
Chapter 89.Pricing products by using subjectively determined demand
Chapter 90.Nonlinear pricing
Chapter 91.Array formulas and functions
Chapter 92.Recording macros
Chapter 93.Advanced sensitivity analysis
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