All businesses should have in place a set of policies and procedures that deter people from committing fraud. Unfortunately, fraud remains a common problem across many industries. The financial sector is particularly vulnerable to these crimes.
Fortunately, there are many steps you can take to prevent fraud and minimise the damage if a crime has already occurred. In this course, you will learn the underlying principles of fraud detection, what fraud detection looks like in practice and the most common challenges people investigating suspected fraud tend to encounter.
You will learn:
- Why fraud detection is important and why learning how to spot patterns is an essential skill in investigating fraud
- How to look for clues that may point to future instances of fraud
- How to identify anomalies in records and processes by analysing data
- The challenges that face data auditors when trying to identify fraudulent activity and how to use analytics to identify red flags
- How to detect credit card fraud using decision trees and algorithms
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Course content
5 modules · 1 hours of learning
- Module 01: Introduction (includes quiz)
- Module 01: Introduction (video)
- Module 02: Predicting Rare Events (includes quiz)
- Module 02: Predicting Rare Events (video)
- Module 03: Detecting Fraud (includes quiz)
- Module 03: Detecting Fraud (video)
- Module 04: Challenges Relating to Data Analysis for Auditors (includes quiz)
- Module 04: Challenges Relating to Data Analysis for Auditors (video)
- Module 05: Credit Card Fraud Detection (includes quiz)
- Module 05: Credit Card Fraud Detection (video)
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