Data Governance Fundamentals: Building Trust and Accountability

In an era where data drives every major business decision, organizations must ensure their data is accurate, secure, and easy to find. Without proper guardrails, data becomes a liability rather than an asset, leading to costly errors and compliance failures. This text-based course guides you through the core principles of modern data governance. You will discover how to establish accountability, improve data quality, and build a culture of trust around your organization's data assets. By understanding how to organize and document data, you will enable teams to make confident, data-backed decisions. What you'll learn: • Understand the core pillars of data governance, including ownership, stewardship, and policies. • Implement modern data catalogs to simplify data discovery and improve searchability. • Track data lineage to understand how information flows and changes across your systems. • Apply data quality frameworks to monitor and improve the reliability of your data. • Align your data practices with modern privacy regulations and security standards. • Establish clear roles and responsibilities to foster accountability across teams. You will begin by learning the essential terminology and foundational frameworks of data governance. From there, the written modules guide you through setting up data stewardship roles, managing metadata with catalogs, and implementing data quality checks in a modern business environment. This course is designed for beginners, aspiring data stewards, business analysts, and managers who want to understand how to manage data assets effectively. No prior technical or data management experience is required. Start reading today to transform your organization's data into a trusted, well-governed asset.