Introduction to Forensic Data Analytics

Instructor

Vincent
Walden

In this introductory course, you'll learn the fundamentals of integrating forensic data analytics into your anti-fraud risk management program. We will cover key definitions, use cases, methodologies and some of the leading innovations and techniques driving this ever-evolving field of "finding hidden money."

Learning Objectives

Understand what is forensic data analytics
How data analytics is a key component to an effective fraud risk management program
Key regulatory drivers that call for the use of forensic data analytics
Practical case examples

Major Topics

Data analytics
Key fraud risk management guidance documents
Data analytics frameworks
Leading techniques and innovations for preventing and detecting fraud

CPE Credits Available

2 CPE Credits

1: Information Technology
1: Specialized Knowledge

Things to Know About This Course

Course Level

Basic

Professional Area of Focus

Information Technology

Advanced Preparation

None

Intended Audience

Beginning accounting professional interested in expanding their knowledge and application of data analytics to support a company's fraud risk management program.

Provider

ACPEN