Forensic Analytics
Detect hidden errors and fraudulent transactions using data-driven forensic techniques. This course introduces analytical tools such as Benford’s Law, outlier analysis, round numbers analysis, growth spurt analysis, policy threshold analysis, and time-series analysis to uncover irregularities buried in large data sets. Learn how to import and structure data in Excel to support these procedures. Develop a systematic approach to identifying anomalies before they escalate into significant financial problems.
Format
PDF Course
Course Lists
Duration
2 Hours
Course Information
Author: Steven Bragg
Course Number: AU1033
Learning Objectives
- Specify how data can be imported into Excel and scrubbed for analysis purposes.
- Specify how Benford’s Law can be used to identify suspect transactions.
- Identify the uses to which data analysis techniques can be put for forensic analysis.
Level: Overview
Instructional Method: QAS Self-Study
NASBA Category: Auditing
Prerequisites: A general understanding of Excel
Advance Preparation: None
Latest Review Date: August 2024
Program Registration Requirements: Click on the Enroll button to pay for and access the course. You will then be able to download the course as a PDF file, then take an on-line examination, and then download a certificate of completion if you pass the examination.
Program Refund Policy: For more information regarding administrative policies concerning complaints, refunds, and other matters, see our policies page.
