Microsoft Excel 2019 Data Analysis And Business Modeling Download – The book has been read before but is in good condition. Very minimal cover damage including scuff marks, but no holes or tears. A dust jacket for the hard cover may not be included. Bindings have minimal wear. Most pages are undamaged with minimal folding or tears, minimal pencil underlining of text, no text highlighting, no writing in the margins. No missing pages. See seller listing for full details and description of any imperfections. View all condition definitions opens in a new window or tab
Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and turn 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 data types to Office 365 Geography and Stock. Practice with over 800 questions, most of which are based on actual challenges faced by job analysts. Solve real business problems with Excel–and build your competitive advantage: Quickly transition from Excel basics to advanced analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Take advantage of the new Office 365 and Stock Geography and Stock data types 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 Learn key financial, statistical, and time functions Master all the advantages Excel charts Quickly make 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 of stock pricing and bidding models Learn about basic probabilities and uses of Bayes’ Theorem Data Models and Power Pivot for effectively build and use relational data sources within Excel workbooks Automate repetitive analytical tasks by using macros
Microsoft Excel 2019 Data Analysis And Business Modeling Download
Chapter 1 Basic spreadsheet modeling Chapter 2 Range names Chapter 3 Lookup function Chapter 4 INDEX function Chapter 5 MATCH function Chapter 6 Text functions Chapter 7 Date and date functions Chapter 8 Evaluating investments 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 Paste Special commands Chapter 15 Three-dimensional formulas and hyperlinks Chapter 16 Auditing tools Chapter 17 Sensitivity analysis with data tables Chapter 18 Target Searching commands Chapter 19 Using Scenario Manager for sensitivity analysis Chapter 20 COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions Chapter 21 SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS Functions Chapter 22 OFFSET Functions Chapter 23 INDIRECT Functions Chapter 24 Conditional formatting Chapter 25 Sorting in Excel Chapter 26 Tables Chapter 27 Sp on buttons, scrollbars, option buttons, checkboxes, comboboxes, and group listboxes Chapter 28 The analytics revolution Chapter 29 Introduction tar optimization with Excel Solver Chapter 30 Using Solver to determine optimal product mix Chapter 31 Using Solver to schedule 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 for assessing sports teams Chapter 36 Warehouse locations and GRG machines Multistart and Evolutionary Solver Chapter 37 Penalties and Evolutionary Solver Chapter 38 Travel salesman problems Chapter 39 Importing data from text files or documents Chapter 40 Validating data Chapter 41 Summarizing data using histograms and Pareto charts Chapter 42 Summarize data using descriptive statistics Chapter 43 Use PivotTables and slicers to describe data Chapter 44 Data Models Chapter 45 Power Pivot Chapter 46 Power View and 3D Maps Chapter 47 Sparklines Chapter 48 Summarize data with database statistical functions Chapter 49 Filter data and delete duplicates Chapter 50 Consolidating data Chapter 51 Creating subtotals Chapter 52 Mapping tricks Chapter 53 Estimating straight-line relationships Chapter 54 Modeling exponential growth Chapter 55 Power curves Chapter 56 Using correlations to summarize relationships Chapter 57 Introduction to multiple regression Chapter 58 Incorporating qualitative factors into multiple regression Chapter 59 Nonlinear modeling and interaction Chapter 60 Analysis of variance: one-way ANOVA Chapter 61 Random block and two-way ANOVA Chapter 62 Using moving averages to understand time series Chapter 63 Winters method Chapter 64 Methods of estimating ratios to moving averages Chapter 65 Forecasting with existence of special events Chapter 66 Introduction to probability Chapter 67 Introduction to random variables Chap
Excel: Your Entry Into The World Of Data Analytics
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