A practical guide to Excel modeling and analysis
Wayne Winston’s seventh-edition guide moves from Excel fundamentals into business analytics through scenario-based instruction and more than 900 practice problems, many drawn from working analysts’ challenges. Its subject matter spans data preparation with Power Query, formulas and custom functions, charting, and relational data models with Power Pivot. Further chapters cover predictive methods such as regression and exponential smoothing, alongside probability, Bayes’ theorem, and Monte Carlo simulation. The book also addresses features named for Office 2021 and Microsoft 365, including dynamic arrays, XLOOKUP, STOCKHISTORY, and 3D Maps, making it a substantial reference for applying spreadsheet tools to business questions.
Good fit for readers who enjoy
- Excel users seeking a structured progression from basics to advanced analysis and modeling
- Business analysts who want practice problems grounded in workplace scenarios
- Readers interested in Excel features for data transformation, forecasting, and visualization
Themes
Spreadsheet-based business analysisData modeling and transformationPredictive analytics and simulationExcel formulas, charts, and visualization
Based on publisher information and book metadata.