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Microsoft Excel 2019 Data Analysis and Business Modeling (6th Edition) (B - GOOD

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Last updated on Jun 11, 2024 09:22:01 PDTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Brand
Unbranded
MPN
Does not apply
ISBN
1509305882
Subject Area
Computers, Business & Economics
Publication Name
Microsoft Excel 2019 Data Analysis and Business Modeling
Publisher
Pearson Education
Item Length
9.1 in
Subject
Desktop Applications / General, Economics / General, Desktop Applications / Spreadsheets
Publication Year
2019
Series
Business Skills Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1.9 in
Author
Wayne Winston
Item Weight
51.2 Oz
Item Width
7.4 in
Number of Pages
880 Pages

About this product

Product Identifiers

Publisher
Pearson Education
ISBN-10
1509305882
ISBN-13
9781509305889
eBay Product ID (ePID)
9038370030

Product Key Features

Number of Pages
880 Pages
Language
English
Publication Name
Microsoft Excel 2019 Data Analysis and Business Modeling
Subject
Desktop Applications / General, Economics / General, Desktop Applications / Spreadsheets
Publication Year
2019
Type
Textbook
Subject Area
Computers, Business & Economics
Author
Wayne Winston
Series
Business Skills Ser.
Format
Trade Paperback

Dimensions

Item Height
1.9 in
Item Weight
51.2 Oz
Item Length
9.1 in
Item Width
7.4 in

Additional Product Features

Edition Number
6
Intended Audience
Scholarly & Professional
LCCN
2019-933467
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.40300285554
Table Of Content
Chapter 1 Basic spreadsheet modeling Chapter 2 Range names Chapter 3 Lookup functions Chapter 4 The INDEX function Chapter 5 The MATCH function Chapter 6 Text functions Chapter 7 Dates and date functions Chapter 8 Evaluating investment by using net present value criteria Chapter 9 Internal rate of return Chapter 10 More Excel financial functions Chapter 11 Circular references Chapter 12 IF statements Chapter 13 Time and time functions Chapter 14 The Paste Special command Chapter 15 Three-dimensional formulas and hyperlinks Chapter 16 The auditing tool 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, and AVERAGEIFS functions Chapter 22 The OFFSET function Chapter 23 The INDIRECT function Chapter 24 Conditional formatting Chapter 25 Sorting in Excel Chapter 26 Tables Chapter 27 Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes 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 Solver to solve transportation or distribution problems Chapter 33 Using Solver for capital budgeting Chapter 34 Using Solver for financial planning Chapter 35 Using Solver to rate sports teams Chapter 36 Warehouse location and the GRG Multistart and Evolutionary Solver 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 Validating data Chapter 41 Summarizing data by using histograms and Pareto charts Chapter 42 Summarizing data by using descriptive statistics Chapter 43 Using PivotTables and slicers to describe data Chapter 44 The Data Model Chapter 45 Power Pivot Chapter 46 Power View and 3D Maps Chapter 47 Sparklines Chapter 48 Summarizing data with database statistical functions Chapter 49 Filtering data and removing duplicates Chapter 50 Consolidating data Chapter 51 Creating subtotals Chapter 52 Charting tricks Chapter 53 Estimating straight-line relationships Chapter 54 Modeling exponential growth Chapter 55 The power curve Chapter 56 Using correlations to summarize relationships Chapter 57 Introduction to multiple regression Chapter 58 Incorporating qualitative factors into multiple regression Chapter 59 Modeling nonlinearities and interactions Chapter 60 Analysis of variance: One-way ANOVA Chapter 61 Randomized blocks and two-way ANOVA Chapter 62 Using moving averages to understand time series Chapter 63 Winters method Chapter 64 Ratio-to-moving-average forecast method Chapter 65 Forecasting in the presence of special events Chapter 66 An introduction to probability Chapter 67 An introduction to random variables Chap
Synopsis
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, Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables-and how to effectively build a relational data source inside an Excel workbook., 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 Excel; Office 2016; Windows 10; data analysis; business modeling; PivotTables; Descriptive Statistics; predictive analytics
LC Classification Number
HD30.215.W5635 2019
Copyright Date
2019
ebay_catalog_id
4

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SecondSalecom

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