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Risk Analysis: Techniques And Applications Across Industries

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 Risk Analysis: Techniques And Applications Across Industries

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Risk Analysis: Techniques And Applications Across Industries
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 799.41 MB | Duration: 2h 36m


Unlock the secrets to successful risk management and make smarter, data-driven decisions in any industry!

What you'll learn

Fundamentals of Risk: Understanding the concept of risk, its types, and how it impacts businesses. Introduction to risk analysis, including the processes.

Qualitative and Quantitative Risk Analysis: How to assess risks qualitatively, including using expert judgment and qualitative tools.

Industry-Specific Risks: Analyzing risks that are specific to industries, including external and internal factors that affect industries and key drivers.

Business Risks: Exploring different types of business risks, both internal and external, and their impact on operations, strategic planning.

Financial Risks: Identifying and understanding financial risks, including how to assess financial statements, ratios, and other financial indicators.

Management Risks: Analyzing management risks, focusing on corporate governance, leadership transparency, and succession planning.

Project Risks: Understanding project-specific risks, including project evaluation, risk components, and the importance of project risk management

Risk Analysis Case Studies: Practical application of risk analysis methods through real-world case studies, like the Daimler risk analysis.

By the end of this course, students will be equipped with both theoretical knowledge and practical tools for identifying, analyzing, and managing.

Requirements

Basic Business Knowledge: A fundamental understanding of business principles, especially in areas like operations, finance, and strategic planning.

Familiarity with Financial Concepts: A basic understanding of financial statements, ratios, and accounting concepts is helpful but not mandatory. This knowledge will assist students in understanding financial risks more easily.

Mathematical Proficiency: While the course will guide you through quantitative methods, a basic grasp of statistics and probability will be beneficial for understanding risk models and performing quantitative risk analysis.

Interest in Risk Management: A keen interest in identifying, analyzing, and managing business, financial, project, and industry risks.

No Specific Software Requirements: The course does not require specific software skills; however, familiarity with Excel or other basic tools used for analysis may be helpful for understanding certain concepts, especially for quantitative analysis.

Open Mindset for Case Studies and Practical Applications: Students should be ready to engage in real-world case studies, applying theoretical concepts to practical risk management scenarios.

 

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