The MATCH function Syntax of the MATCH functionĬhapter 6. The INDEX function Syntax of the INDEX functionĬhapter 5. Lookup functions Syntax of the lookup functionsĬhapter 4. Range names How can I create named ranges?Ĭhapter 3. Basic worksheet modeling Answers to this chapter’s questionsĬhapter 2. What you should know before reading this bookĬhapter 1.
Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbookĪutomate repetitive analytics tasks by using macros
Learn about basic probability and Bayes’ Theorem Run Monte Carlo simulations on stock prices and bidding models Use Solver to optimize product mix, logistics, work schedules, and investments-and even rate sports teams Quickly create forecasts from historical time-based data Use Excel trend curves, multiple regression, and exponential smoothingĭelve into key financial, statistical, and time functions Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Illuminate insights from geographic and temporal data with 3D Maps Leverage Office 365’s new Geography and Stock data types and six new functions Use PowerQuery or Get & Transform to connect, combine, and refine data sources Quickly transition from Excel basics to sophisticated analytics Solve real business problems with Excel-and build your competitive advantage: Practice with more than 800 problems, many based on actual challenges faced by working analysts. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. 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. Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results.
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