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

Paperback Engels 2022 7e druk 9780137613663
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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

Specificaties

ISBN13:9780137613663
Taal:Engels
Bindwijze:paperback
Aantal pagina's:1168
Druk:7
Verschijningsdatum:26-2-2022
Hoofdrubriek:IT-management / ICT

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Inhoudsopgave

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