Financial Statement Analysis: A Data Analytics Approach
Author:Robert Resutek (Author), Vernon Richardson (Author)
Publisher finelybook 出版社: McGraw Hill Inc
Publication Date 出版日期: 2023-01-01
Language 语言: English
Print Length 页数: 673 pages
ISBN-10: 1265329494
ISBN-13: 9781265329495
Book Description
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.
