Introduction to Forensic Data Analytics
Monday, June 16, 2025
3-4:50 p.m. Central
2 CPE (2 technical)
Course code: 25WA-1949
View pricing
Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
- Wednesday, April 16, 2025 - Webinar
- Saturday, May 10, 2025 - Webinar
- Friday, May 30, 2025 - Webinar
- Monday, June 9, 2025 - Webinar
- Thursday, June 26, 2025 - Webinar
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."
Major subjects
-
Data analytics
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Key fraud risk management guidance documents
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Data analytics frameworks
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Leading techniques and innovations for preventing and detecting fraud
Learning objectives
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Understand what is forensic data analytics
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How data analytics is a key component to an effective fraud risk management program
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Key regulatory drivers that call for the use of forensic data analytics
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Practical case examples
Who should take this program?
- Beginning accounting professional interested in expanding their knowledge and application of data analytics to support a company's fraud risk management program.
Pricing
Standard Member Fee |
$79.00
|
Standard Nonmember Fee |
$79.00
|
Our records indicate
you are a
nonmember.
If you register, you will be charged
$79.00
(Standard Nonmember Fee).
Members: Please
log in
to receive member fee.
Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
Instructor
Vincent Walden, CFE, CPA
Location
Online
Area
of study
Information technology
Field(s)
of study
Information Technology - Technical (1.0)
Specialized Knowledge - Technical (1.0)
Level
Basic
Format
Group Internet Based
Sponsor
NASBA ID#: 107810
Prerequisites
Prereq.
None
Advance
prep
None
Cancellation
policy
Receive a full refund if you cancel at least four business
days before the event start date.
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