Understanding GDPR
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Learn GDPR’s principles, legal bases, data subject rights and security measures, and how the regulation applies to AI and automated decisions.
GDPR, the General Data Protection Regulation, shapes how organizations collect, use and protect information about people, yet its legal wording can put newcomers off. Here you meet the regulation in everyday language: what counts as personal data, who carries responsibility when it is processed, and what to do after a breach. Practical examples then connect the rules to daily decisions about security, anonymization and choices made by algorithms.
What You Will Achieve
- Tell whether information is personal data and identify who is responsible for processing it
- Pick a fitting legal basis for processing and test a claim of legitimate interest
- Judge whether data is truly anonymous and which security measures a company needs
- Recognize the GDPR risks of profiling and automated decisions made with AI
Program Overview
GDPR Basics and Responsibilities
Sets out why the regulation exists and the building blocks the later chapters rely on.
- What GDPR is and why it matters
- Personal data and what processing means
- Who is responsible for data
- Responding to a data breach
Principles, Legal Bases and Data Subject Rights
Covers the core concepts that decide whether processing is lawful and what individuals can ask of an organization.
- The seven GDPR principles in practice
- Legal bases, including legitimate interest
- International transfers, adequacy and fines
- Data subject rights and access requests
Security, Privacy by Design and AI
Looks at the organizational and technical measures that protect data, then at how GDPR applies to big data and AI.
- Integrity, confidentiality and technical measures
- Anonymization and when data is truly anonymous
- Privacy by design and privacy-enhancing technologies
- Profiling, automated decision-making and what comes next for GDPR
Certificate Awarded (Paid)
Complete the course to earn it.
Job Outlook
GDPR knowledge is used wherever organizations handle personal data, including data science work, management roles, and teams that build products, processes or AI systems that rely on information about people.
Good for: Data scientists, managers and other staff who handle personal data and want a jargon-free grounding in GDPR before tackling legal detail.
Keep in mind: It explains GDPR in plain language through examples and short exercises, so it gives a working understanding of the regulation rather than legal advice for a specific case.
Bottom line: Pairs the core GDPR rules with security measures and closes on AI, profiling and automated decisions.
Frequently Asked Questions
Does GDPR matter for organizations outside the EU?
The course treats GDPR as a law with reach beyond the EU, affecting how businesses elsewhere operate and shaping data protection rules in other countries. A lesson on international transfers and adequacy explains when personal data may move outside the EU.
What does the course say about AI and GDPR?
The final chapter looks at big data and AI under the regulation, with lessons on automated decision-making and profiling, the risks and opportunities these systems bring, and how GDPR may develop as technologies and societies change.
What is privacy by design?
It means building data protection into products, services and processes from the start instead of adding it later. The security chapter compares privacy by design with privacy by default and explains what privacy-enhancing technologies do.
How does the course handle the legal language?
It avoids heavy legal jargon and explains each concept through practical examples and use cases, followed by short exercises that ask you to apply the idea, such as choosing a legal basis or judging whether data is anonymous.
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