Risk Management Excellence with ISO 31000 Frameworks

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Risk Management Excellence with ISO 31000 Frameworks

Coursera · Beginner ·📋 Product Management ·1h ago
Skills: PM Basics50%
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Gain a comprehensive understanding of risk management principles and the ISO 31000 framework, widely recognized for its effectiveness in identifying and managing risks. In this course, you will explore various techniques and methodologies that support risk management decisions in both simple and complex environments. The course is structured around video-based lessons that build progressively. The first part introduces ISO 31000 and its importance in organizational risk management. You'll learn how the framework has evolved over time and compare it to other global standards. The second section focuses on the ISO 31000 principles, structure, and processes, laying a strong foundation for effective risk management. The third section dives deep into practical risk management techniques, including ISO 31010, SWIFT, Fault Tree Analysis, Event Tree Analysis, and many more. Each method is explained in detail with practical applications, allowing you to grasp how they can be applied in real-world situations. This course is ideal for professionals in risk management, business strategy, or operations management. No prior experience in risk management is required, though an understanding of business processes and decision-making will be beneficial. The course is designed for an intermediate audience and is suitable for those looking to enhance their expertise in risk management frameworks. By the end of the course, you will be able to identify, assess, and manage risks using the ISO 31000 framework and advanced risk assessment methods. You'll also gain hands-on experience applying techniques like FMEA, Monte Carlo Simulation, and Sensitivity Analysis to make informed risk decisions.
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