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About Financial Statement Analysis
Financial Statement Analysis: A Data Analytics Approach introduces students to financial statement analysis (FSA) topics while developing the key data analytic skills in demand by today’s employers. Using an FSA-oriented framework and the AMPS model, students learn to understand how data can be used to analyze financial statements. This is done through a balanced approach, centered on both performing data analysis and data-driven inferences. Data analytics labs ask students to think critically, bring together their knowledge of FSA and data analytics to ask and answer questions and present their findings to decision-makers. Paired with Connect this title offers the most robust platform support than any other FSA text on the market. It includes 40+ labs in Excel and Tableau with lab help videos that provide step-by-step instructions walking students through analysis tasks, lecture videos designed to reinforce learning objectives and important chapter concepts, auto-graded assessment, and SmartBook.
Detailed Information
| Author: | Robert J. Resutek |
|---|---|
| Pages: | 545 |
| Language: | English |
| File Size: | 67 |
| Format: | |
| Price: | FREE |
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