Fraud Analytics#366524

Course Description

Course publication/revision date: This course was updated on 1/17/2024.

Cases of fraud are deeply hidden within the mass of accounting data in a business. Usually, only a great deal of effort will bring them to light. In the Fraud Analytics course, we cover how to find fraud – through the analysis of fraud symptoms and the use of data analysis techniques, such as Benford’s Law, break-point analysis, cross-matching, outlier analysis, and pattern analysis.