Data Governance Certification

Module 1: Introduction to Data Governance

• Data governance fundamentals
• Purpose of governance
• Data as an organizational asset
• Governance principles
• Business value
• Governance challenges

Module 2: Data Governance Frameworks

• Governance framework components
• Governance operating models
• Decision-making structures
• Roles and responsibilities
• Governance processes
• Framework implementation

Module 3: Data Governance Strategy

• Business objectives
• Data strategy alignment
• Governance priorities
• Current-state assessment
• Target-state planning
• Governance roadmap

Module 4: Data Ownership & Accountability

• Data owners
• Data custodians
• Accountability models
• Ownership responsibilities
• Decision rights
• Data accountability

Module 5: Data Stewardship

• Data steward responsibilities
• Business stewardship
• Technical stewardship
• Stewardship workflows
• Issue management
• Collaboration models

Module 6: Data Policies & Standards

• Data policies
• Data standards
• Naming conventions
• Data definitions
• Business rules
• Policy management

Module 7: Data Quality Management

• Data quality dimensions
• Accuracy
• Completeness
• Consistency
• Timeliness
• Validity

Module 8: Data Quality Monitoring

• Data profiling
• Quality rules
• Quality metrics
• Data validation
• Issue detection
• Remediation workflows

Module 9: Metadata Management

• Metadata concepts
• Business metadata
• Technical metadata
• Operational metadata
• Metadata repositories
• Metadata management

Module 10: Data Catalogues

• Data catalogue concepts
• Dataset discovery
• Business glossary
• Data classification
• Search and discovery
• Catalogue management

Module 11: Data Lineage

• Data lineage concepts
• Source-to-target mapping
• Data transformations
• Dependency tracking
• Impact analysis
• Lineage visualization

Module 12: Master & Reference Data Management

• Master data concepts
• Reference data
• Golden records
• Data domains
• Data consistency
• Master data governance

Module 13: Data Classification

• Classification frameworks
• Data categories
• Sensitivity levels
• Business criticality
• Classification labels
• Handling requirements

Module 14: Data Access & Security Governance

• Access controls
• Role-based access
• Least privilege
• Data authorization
• Security responsibilities
• Access monitoring

Module 15: Data Privacy Governance

• Privacy principles
• Personal data concepts
• Data minimization
• Purpose management
• Retention principles
• Privacy controls

Module 16: Data Lifecycle Management

• Data creation
• Data storage
• Data usage
• Data sharing
• Data retention
• Data disposal

Module 17: Cloud Data Governance

• Cloud data environments
• Data lake governance
• Data warehouse governance
• Cloud access management
• Metadata in cloud platforms
• Multi-cloud considerations

Module 18: AI & Data Governance

• AI data requirements
• Training data governance
• Data quality for AI
• AI data lineage
• Responsible data usage
• AI governance considerations

Module 19: Data Governance Tools & Technology

• Data cataloguing tools
• Metadata platforms
• Data quality tools
• Lineage solutions
• Governance automation
• Platform integration

Module 20: Governance Metrics & Reporting

• Governance KPIs
• Data quality scores
• Policy adoption
• Issue resolution metrics
• Stewardship performance
• Governance dashboards

Module 21: Data Governance Implementation

• Governance assessment
• Stakeholder engagement
• Operating model rollout
• Change management
• Adoption planning
• Continuous improvement

Module 22: Practical Data Governance Project

• Governance framework design
• Data ownership model
• Data quality rules
• Metadata structure
• Governance KPIs
• Implementation roadmap