Data Governance, Privacy, and Ethics

Categories: Chartered
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

As organizations increasingly rely on data-driven insights, managing data responsibly has become critical. This module explores the essential principles and practices of data governance, privacy, and ethics. You will learn how to implement governance frameworks that ensure data quality, security, and accountability, understand key data privacy regulations such as GDPR and CCPA, and navigate the ethical challenges in data analysis and artificial intelligence (AI). Through practical examples and real-world case studies, this module equips you with the knowledge and skills to handle data in a manner that builds trust and fosters compliance.

What Will You Learn?

  • Understand the core principles and frameworks of Data Governance
  • Develop skills to manage data quality, master data, and metadata
  • Establish effective data stewardship and accountability structures
  • Learn about key global data privacy regulations (e.g. GDPR, CCPA)
  • Apply core privacy principles: consent, data minimization, purpose limitation, transparency
  • Understand data subject rights and how to implement them (access, rectification, erasure, portability)
  • Conduct Data Protection Impact Assessments (DPIA)
  • Apply Privacy by Design principles in system and product development
  • Implement security controls to protect personal and sensitive data
  • Develop and enforce privacy policies across an organization
  • Identify and manage ethical risks in data collection, AI, and analytics
  • Mitigate bias and discrimination in algorithms and automated decisions
  • Balance innovation with individual rights and societal impacts
  • Analyze and learn from real-world case studies of ethical failures
  • Build a culture of data ethics through codes of conduct, training, and governance

Course Content

Data Governance Frameworks

  • Understanding the importance of data governance in organizations
  • Components of a robust data governance framework
  • Data Quality Management
  • Master data management and metadata management
  • Establishing data stewardship and accountability structures

Data Privacy Regulations

Ethical Considerations in Data Analysis and AI

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?

✕