About this class
Fraud detection is a set of activities undertaken to prevent money or property from being obtained through false pretenses. Fraud detection is applied to many industries such as banking or insurance. In banking, fraud may include forging checks or using stolen credit cards
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Learning Material
Title
Volume
Unit 2: Advanced Data Analytics for Fraud Detection
5.89 MB
<p>Advanced Data Analytics for Fraud Detection</p>
Unit 3: Cybersecurity and Fraud Prevention
5.89 MB
<p>Cybersecurity and Fraud Prevention</p>
Unit 4: Artificial Intelligence and Machine Learning in Fraud Detection
5.89 MB
<p>Artificial Intelligence and Machine Learning in Fraud Detection</p>
Advanced Techniques in Forensic Accounting
5.89 MB
<p>Advanced Techniques in Forensic Accounting</p>
Unit 5: Advanced Techniques in Forensic Accounting
5.89 MB
<p>Fraud Risk Assessment and Mitigation Strategies</p>
Unit 6: Fraud Risk Assessment and Mitigation Strategies
5.89 MB
<p>Behavioral Analytics and Fraud Detection</p>
Unit 7: Behavioral Analytics and Fraud Detection
5.89 MB
<p>Blockchain and Fraud Prevention</p>
Unit 8: Blockchain and Fraud Prevention
5.89 MB
<p>Advanced Case Studies in Financial Fraud Investigations</p>
Unit 1: Fraud Prevention, Detection, and Risk Management
1.47 MB
<p>Fraud detection is defined as a process that detects scams and prevents fraudsters from obtaining money or property through false means. Fraud is a serious business risk that needs to be identified and mitigated in time</p>
Exams
Title
Min
Grade
Attempts
Status
Fraud Prevention, Detection and risk management Exam Questions
50
Questions, 90
Min
50/100
0/1
-
Certificates
Title
Min
Grade
Fraud Prevention, Detection and risk management Exam Questions
50/100
0
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