Data Governance Fundamentals for Practitioners and Leaders

Data governance is often misunderstood, overcomplicated, or treated as a compliance exercise. In reality, effective data governance is about how organizations make decisions about data—who owns it, how it’s used, how risk is managed, and how governance survives as the organization grows.

This course provides a practical, real-world understanding of data governance as a business capability, not a collection of tools or policies. Instead of focusing on abstract frameworks or vendor-specific solutions, you’ll learn how governance actually works inside organizations, why it often fails, and how to design governance that people rely on instead of work around.

Throughout the course, we explore data governance from multiple angles, including ownership and accountability, data lifecycle management, quality, access and sharing, privacy and ethics, security alignment, analytics, AI, and cloud platforms. Each topic is explained in the context of real organizational decision-making, with a focus on clarity, sustainability, and scale.

By the end of the course, you’ll understand how the individual components of data governance fit together into a cohesive system—and how to design and evolve governance programs that survive change, growth, and shifting priorities.

This course is ideal for professionals working with data, analytics, security, risk, compliance, or technology leadership who want a grounded, practical understanding of data governance without unnecessary theory or fluff.