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 ‚Äì 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.