Data Governance with Databricks is a meticulously designed course to help you understand and implement efficient data governance in your organization. The course begins by familiarizing you with the key principles of data governance and the role of Databricks in facilitating effective governance of data. This is followed by a deep dive into the core components of data governance such as frameworks, policies, roles, and regulatory considerations, as well as data quality and metadata management.

The course is segmented into two distinct modules. Module 1, "Data Governance and Databricks - Fundamentals", provides a comprehensive understanding of the importance of data governance and the integral role of Databricks in the process. By the end of this module, you will be well-equipped with a fundamental understanding of data governance and the features of Databricks that support governance initiatives. Module 2, "Data Governance and Databricks - Application", focuses on practical applications of Databricks for data governance. You will learn how to manage data, implement governance workflows, manage metadata, and ensure security in Databricks. The module also explores best practices for data governance using Databricks and culminates with real-world examples and case studies highlighting successful data governance implementations. This course is perfect for data professionals, data governance analysts, data stewards, IT managers, and anyone interested in improving their organization's data governance using Databricks. Prior knowledge of Databricks is not a prerequisite, making it suitable for beginners as well as experienced professionals seeking to enhance their skills. By the end of this course, you'll understand the significance of data governance and the ways to leverage Databricks for it. You'll gain the ability to manage data, design governance workflows, and ensure security in Databricks, drawing from best practices and real-world examples.