IIRF Online > Finance & Accounting > Compliance > Fraud Analytics > Fraud Risk Analytics (Excel & AI based tools) and Prevention
Fraud Risk Analytics (Excel & AI based tools) and Prevention by Udemy
Detect & Prevent Fraud Smartly | Assess your company's maturity to manage fraud
Course Highlights
- 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
Skills you will learn!
Curriculum
1 Topic
Introduction
1 Topic
Understanding fraud
2 Topics
Framework to assess fraud maturity
Assess Fraud Risk Management Maturity
3 Topics
Types of fraud
Types of fraud in different processes and sectors
Evaluate the scenarios!
5 Topics
Snapshot of fraud detection
Fundamental Rules in fraud detection
Benford Law
Concept of Standard Deviation to detect fraud
Quiz
7 Topics
How to do Ageing Analysis in Excel
How to create Pareto Chart in Excel
How to apply Benford Law Using Excel
How to create box plot in excel and identify outliers
Practice what you have learnt 1!
Practice what you have learnt 2!
Practice what you have learnt 3!
6 Topics
Power of AI
Introduction to AI
Move over traditional methods
Anomaly Detection
AI Case Study
Image and Video Analytics
1 Topic
Anomaly Detection Using Power BI
4 Topics
Insights about fraud - How to plan better?
Fraud Triangle
Core Actions to Prevent Fraud
Actions for Work From Home Challenges
2 Topics
Process Approach to detect and prevent fraud
Cause Vs Root Cause and Mistake Proofing
1 Topic
Cost recovery
11 Topics
Setting the context
Machine Learning Concepts
Introduction to Colab: Google Cloud Development Environment
Linear and Logistic Regression (and an intro to deep learning)
Unsupervised Learning
Three types of anomaly detection
Time Based Anomaly Detection
Unsupervised Anomaly Detection - DBSCAN
Unsupervised Anomaly Detection - Isolation Forest
Supervised Anomaly Detection
Image Anomaly Detection
1 Topic
Conclusion
1 Topic
Bonus Lecture
Fraud Risk Analytics (Excel & AI based tools) and Prevention
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