- TX Credits : 0.2
Benford's Law is a mathematical theory that was conceived in 1938. For 50 years, Benford's Law was a curiosity limited to mathematicians, but now, it aids numerous anti-fraud professionals in solving embezzlement, insurance claims, and money laundering cases. This course illustrates how this theory could help you on your next fraud case. This basic level course is most beneficial to professionals new to this topic who may be at the staff or entry level in organization but also for a seasoned professional with limited exposure to this topic.
Thomson Reuters is committed to bringing innovative solutions to you, now including nano-learning! As per NASBA Standards, a nano-learning course is a 10-minute, electronic, self-study course in which you are eligible to earn 1/5 (or 0.2) CPE credits.
At this time, nano-learning is not accepted by all state boards. If you are not sure whether your state board accepts nano-learning, you can ask your state board or visit the NASBA registry: (nasbaregistry.org).
Included with subscription(s):
Upon successful completion of this course, the user should be able to:
identify how to use Microsoft Excel to find anomalies that falls outside the normal Benford's Law distribution.