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Fundamentals of Data Privacy : GDPR, CCPA & Compliance
Role Play
Rating: 4.2 out of 5(96 ratings)
274 students

Fundamentals of Data Privacy : GDPR, CCPA & Compliance

Master Data Protection Fundamentals, Privacy Operations, Data Governance, Breach Management & AI Data Privacy
Last updated 5/2026
English

What you'll learn

  • Learn key data privacy terms, such as personal data, sensitive data, and data subject rights, and privacy laws like GDPR and CCPA.
  • Recognize common data privacy risks and understand the potential legal, financial, and reputational consequences for individuals and organizations.
  • Understand major privacy regulations (e.g., GDPR, CCPA) and their requirements for data processing, consent, and data subject rights.
  • Learn to apply basic privacy practices like data classification, consent management, data minimization, and security through encryption and anonymization.

Course content

12 sections38 lectures7h 39m total length
  • How to Use This Course and Your Learning Pathway8:33

Requirements

  • Basic understanding of data protection, familiarity with personal data concepts, and an interest in learning about privacy laws and security practices are recommended.

Description

This course provides a comprehensive overview of data privacy, covering foundational principles and practical steps to implement privacy measures effectively in any organization. The course explores  following key topics

1. Key terms and definitions under Data Privacy

2. Privacy Principles and Data lifecyle

3. Data Discovery, where learners will understand how to identify and map personal data;

4. Data Subject Rights, exploring legal entitlements individuals have over their personal data

5. Privacy Impact Assessments (PIA), helping organizations assess privacy risks before processing data;

6. Data breach management, focusing on how to detect, respond to, and mitigate the impact of data breaches.

7. Privacy Enhancing Technologies, techniques designed to protect personal data by minimizing, anonymizing, or encrypting

8. AI and Data Privacy, examining the unique privacy challenges posed by artificial intelligence systems, including algorithmic transparency, automated decision-making rights, data training requirements, and AI-specific privacy compliance strategies

9. Cloud Privacy Fundamentals, covering essential privacy considerations for cloud computing environments, including shared responsibility models, data residency requirements, cross-border data transfers, vendor management, and cloud-specific privacy controls

Additionally, the course offers a step-by-step guide to establishing a data privacy program, from governance frameworks to compliance with privacy laws.

By the end of the course, learners will be equipped to do the following

  1. Understand key concepts, principles, and importance of data privacy.

  2. Learn global data privacy regulations like GDPR, CCPA, and frameworks like NIST, ISO 27701.

  3. Identify types of personal data and sensitive data classifications.

  4. Explore data subject rights and organizational responsibilities.

  5. Understand Privacy by Design and Privacy by Default principles.

  6. Learn about Privacy Impact Assessments (PIAs) and risk management.

  7. Explore Privacy Enhancing Technologies (PETs) and data protection techniques.

  8. Understand the role of consent, lawful processing, and data minimization.

  9. Learn best practices for data security and breach response.

  10. Gain insights into implementing a data privacy framework within organizations.

Through practical examples, real-world scenarios, and hands-on tools, learners will gain the confidence to drive data privacy initiatives in their organizations while fostering a culture of compliance and accountability.

Who this course is for:

  • The target audience for this course includes professionals in data management, IT, compliance, legal teams, and anyone interested in understanding data privacy fundamentals.