Fraud Risk Analytics (Excel & AI based tools) and Prevention
Detect & Prevent Fraud Smartly | Assess your company's maturity to manage fraud
4.39 (1592 reviews)
7 336
students
5.5 hours
content
Mar 2024
last update
$64.99
regular price
What you will learn
What is fraud
How to detect fraud
How to prevent fraud
What is fraud triangle
What is Benford Law
How to use excel to detect fraud
How AI is helping in detecting fraud
How to assess an organization for its maturity on fraud prevention
How to find anomalies in a dataset
How to programmatically detect fraud
How to apply unsupervised learning to detect fraud
How to apply supervised learning to detect fraud
How to use box plots to identify fraud
What is image analytics and how it is used to detect fraud
What is correlation and how it is useful in fraud risk management
How to use PowerBI in finding anomalies for fraud detection
What is AutoML and how it can be used in fraud detection
Course Gallery
Charts
Students
Price
Rating & Reviews
Enrollment Distribution
Comidoc Review
Our Verdict
Fraud Risk Analytics (Excel & AI based tools) and Prevention is an informative course that introduces learners to various theoretical frameworks, tools, and real-world applications for detecting and preventing fraud. While it could benefit from deeper exploration of certain topics and more interactions to boost engagement, its strong suit lies in its ability to explain nuanced topics in a clear, structured manner that leaves students with a solid foundation in the field.
What We Liked
- Comprehensive coverage of fraud detection and prevention, including theoretical frameworks like the Fraud Triangle and Benford's Law
- Explains the application of various tools such as Excel, PowerBI, and AI-based techniques for identifying anomalies and detecting fraud
- Lots of charts, diagrams, and real-world examples enrich the learning experience
- Well-structured and clear presentation style, allowing for an easy understanding of complex topics
Potential Drawbacks
- Absence of interactive elements like quizzes or opportunities for discussion hurts engagement
- Lacks depth in some areas, particularly the Python programming basics section which some learners found overwhelming
- Some sections could benefit from more practical examples and application of theories to real-world fraud detection scenarios
- Occasional issues with audio quality and repetitiveness detract from the overall learning experience
Related Topics
3816886
udemy ID
01/02/2021
course created date
04/02/2021
course indexed date
Bot
course submited by