Financial Statement Analysis: A Data Analytics Approach: 2024 Release ISE
1266133070
·
9781266133077
By Robert Resutek, Vernon Richardson
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 mode…
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1 Contemporary Financial Statement Analysis and the Need for Data Analytics 2 Using Financial Statements 3 Alternative Data Sources 4 Financial Ratio Analysis 5 Accounting Quality and Working Capital Analysis 6 Evaluation of Noncurrent Assets and Liabilities to Assess Balance Sheet Quality 7 Analysis of Cash Flows 8 Forecasting Pro Forma Financial Statements 9 Introduction to Equity Valuation 10 Quantitative and Qualitative Sensitivity Analysis to Assess Forecast Assumptions
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.
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