Corporate Fraud: Detect, Prevent & Implement Controls
This course equips learners with the analytical skills and practical frameworks necessary to identify, prevent, and respond to corporate fraud across organizational settings. Structured into two key modules, the course begins by introducing foundational fraud concepts, including motivational drivers, the Fraud Triangle, real-world fraud cases (e.g., Enron, Worldcom), and preventive regulatory frameworks such as the Sarbanes-Oxley Act. Participants will identify fraud indicators, explain regulatory standards, and demonstrate understanding of internal control mechanisms.
The second module advances into applied analytical techniques such as vertical and horizontal financial analysis, ratio evaluation, and forensic investigation. Learners will analyze financial data to detect manipulation, evaluate red flags using forensic and data-driven approaches, and formulate structured responses to fraud. The course concludes with practical guidance on fraud reporting, communication protocols, and reinforcing anti-fraud culture in the workplace.
This course is ideal for finance professionals, auditors, compliance officers, and anyone responsible for corporate governance and risk management.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
SQL Joins for Placement Interviews: The Complete Guide Every BTech Student Needs
Medium · Programming
SQL DML Explained — INSERT, UPDATE, and DELETE with Real Examples
Medium · Programming
Simple Linear Regression : What! Can your Second term Grades can predict your Final term Grades?
Medium · Data Science
Aggregate Functions in SQL for Data Science Interviews
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI