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- Data
Data Governance Foundations
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes:
1. Data Governance: Key Concepts, Frameworks, and Roles (video course) 2. Data Governance: Operating Models (video course) 3. Data Governance: Data Quality and Metadata (video course) 4. Data Governance: Privacy, Security, and Regulatory Compliance (video course) 5. Data Governance: AI and Machine Learning (video course) 6. Data Governance: Program Operations and Maturity (video course)
Data governance is the discipline of establishing clear authority, accountability, and decision-making over an organization's data, which makes it trustworthy for reporting, regulatory response, and AI. This six-course Foundations path equips you to apply governance practices across frameworks, operating models, data quality and metadata, privacy and compliance, AI and machine learning, and program operations.
Content in this path
Data Governance Foundations
Watch the following courses to get started on your data governance learning journey.
Try this learning path for free
What You'll Learn
- 1. Key concepts, frameworks, and roles related to data governance
- 2. Data governance operating models
- 3. Data quality and metadata concepts related to data governance
- 4. Privacy, security, and regulatory compliance related to data governance
- 5. AI and machine learning considerations for data governance
- 6. How to operate and mature a data governance strategy
- Learners interested in this path should be familiar with core data concepts and how data is created, used, and moves throughout an organization. No prior data governance experience is required.
- Data Management
- Data Quality
- Metadata
- Data Lineage
- Data Privacy
- Data Frameworks
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