Foundations of Data Governance, Quality, and Security

In today's data-driven world, organizations struggle to keep their information clean, secure, and compliant. Without a clear understanding of how data management, governance, and security connect, critical compliance risks emerge and valuable assets go underutilized. This course provides a clear, practical introduction to the entire data lifecycle, helping you transition from feeling overwhelmed by technical jargon to confidently understanding how to structure data policies, monitor quality, and implement modern security controls. What you'll learn: - Understand the fundamental differences between data governance, data management, and data stewardship. - Apply data quality dimensions to measure, monitor, and improve the reliability of organizational datasets. - Design basic data governance frameworks and define clear roles and responsibilities across teams. - Configure essential security and privacy controls to protect sensitive information while maintaining compliance. - Explore modern data cataloging and metadata management techniques to improve data discoverability. - Implement modern privacy principles and zero-trust concepts to safeguard data from unauthorized access. The journey begins with key terminology and foundational concepts of data literacy before guiding you through practical frameworks for quality, governance, and modern security operations. Through structured written explanations and real-world scenarios, you will learn how to align business goals with robust data strategies. This course is designed specifically for beginners, aspiring data professionals, and business stakeholders who want to understand data operations from the ground up, with no prior technical experience required. Start building your data literacy and governance skills today.