Corporate Fraud: Detect, Prevent & Implement Controls

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Corporate Fraud: Detect, Prevent & Implement Controls

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Equips learners with analytical skills and practical frameworks to identify, prevent, and respond to corporate fraud using data analytics

Original Description

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.
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