Course Objectives:

By the end of this course, participants will:

1. Understand the principles of fraud detection and prevention using data analytics.
2. Learn to identify red flags and anomalies indicative of fraudulent activity.
3. Develop proficiency in using data analytics tools and techniques to detect and investigate fraud.
4. Gain insights into designing and implementing fraud detection frameworks.
5. Prepare actionable reports and recommendations to mitigate fraud risks and enhance organizational controls.

Course Syllabus:

Day 1: Fundamentals of Fraud Detection and Data Analytics

1. Introduction to Fraud and Its Impact
2. Overview of Data Analytics in Fraud Detection
3. Setting Up a Fraud Analytics Framework
4. Workshop: Understanding Fraud Scenarios and Indicators

Day 2: Data Analytics Techniques for Fraud Detection

1. Data Preparation and Cleaning
2. Analytical Techniques for Fraud Detection
3. Using Tools for Fraud Analytics
4. Hands-On Lab: Applying Data Analytics to Detect Fraud Patterns

Day 3: Advanced Techniques and Reporting Findings

1. Advanced Data Analytics for Fraud Detection
2. Investigating Fraud with Data Analytics
3. Preparing and Presenting Fraud Detection Reports
4. Capstone Project: End-to-End Fraud Detection Simulation