Week 5: Data Governance

Day 1: Overview of Data Governance

• Definition of data governance
• Explanation of why data governance is important for data security and compliance
• Overview of the key components of data governance

Day 2: Data Classification and Categorization

• In-depth discussion of data classification and categorization
• Examples of different approaches to data classification and categorization
• Best practices for implementing effective data classification and categorization

Day 3: Data Access Controls and Permissions

• Explanation of data access controls and permissions and their role in data governance
• Examples of common access control models (e.g., role-based, attribute-based)
• Best practices for implementing effective data access controls and permissions

Day 4: Data Retention and Disposal Policies

• Explanation of data retention and disposal policies and their role in data governance
• Overview of legal and regulatory requirements for data retention and disposal
• Best practices for implementing effective data retention and disposal policies

Day 5: Managing Data Quality and Accuracy

• Explanation of the importance of managing data quality and accuracy in data governance
• Overview of different approaches to managing data quality and accuracy
• Best practices for implementing effective data quality and accuracy management