Data Governance & Privacy Training Course

This course equips participants with the knowledge and practical skills required to manage data responsibly, ensure regulatory compliance, and protect sensitive information across organizational systems. It focuses on data governance frameworks, data quality management, privacy laws, information security principles, data lifecycle management, and ethical data use. Participants will learn how to build secure, compliant, and value-driven data ecosystems.

Target Groups

• Data governance officers and managers
• IT and information security professionals
• Compliance and risk management officers
• Data analysts and database administrators
• Legal and regulatory affairs staff
• Public sector and NGO program staff
• HR and operations managers handling sensitive data
• Students and professionals in IT, data management, and governance

Course Objectives

By the end of this course, participants will be able to:

• Understand principles of data governance and data privacy
• Design and implement data governance frameworks
• Ensure compliance with data protection regulations
• Improve data quality, accuracy, and consistency
• Manage data lifecycle from creation to disposal
• Strengthen data security and access controls
• Protect personal and sensitive information
• Develop data policies and governance standards
• Support ethical and responsible data use
• Enhance organizational data decision-making capabilities

Course Modules

Module 1: Introduction to Data Governance and Privacy

• Concept of data governance and privacy
• Importance of data management in organizations
• Key principles of responsible data use
• Relationship between governance, privacy, and security
• Overview of global data protection trends

Module 2: Data Governance Frameworks

• Components of a data governance framework
• Roles and responsibilities in data governance
• Data ownership and stewardship models
• Policy development and enforcement
• Governance operating models

Module 3: Data Lifecycle Management

• Data creation, storage, usage, and archiving
• Data classification and categorization
• Retention and disposal policies
• Data flow mapping and documentation
• Managing structured and unstructured data

Module 4: Data Quality Management

• Principles of data quality (accuracy, completeness, consistency)
• Data validation and cleansing techniques
• Monitoring and improving data quality
• Data profiling and auditing
• Establishing data quality standards

Module 5: Data Privacy Principles and Regulations

• Overview of data privacy laws and frameworks
• Consent management and lawful processing
• Individual data rights and obligations
• Cross-border data transfer considerations
• Privacy-by-design principles

Module 6: Data Security and Access Control

• Data security fundamentals
• Identity and access management (IAM)
• Encryption and anonymization techniques
• Data breach prevention and response
• Securing sensitive and confidential data

Module 7: Risk Management in Data Governance

• Identifying data governance risks
• Privacy risk assessment methodologies
• Data breach impact analysis
• Mitigation and control strategies
• Business continuity and data resilience

Module 8: Compliance and Ethical Data Use

• Regulatory compliance requirements
• Ethical considerations in data handling
• Transparency and accountability in data use
• Audit and reporting obligations
• Managing compliance violations

Module 9: Tools and Technologies for Data Governance

• Data governance platforms and systems
• Data cataloging and metadata tools
• Data quality and monitoring software
• Privacy management systems
• Using Microsoft Excel for data tracking, governance reporting, audit logs, and data quality monitoring dashboards

Module 10: Capstone Project and Case Studies

• End-to-end data governance framework design
• Case studies on data breaches and governance failures
• Group exercises on data privacy compliance scenarios
• Data lifecycle and governance simulation exercises
• Emerging trends in data governance, including AI-driven data management, automated privacy compliance tools, real-time data monitoring systems, blockchain-based data integrity solutions, and enterprise-wide data governance ecosystems