This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
You will look at decent-sized big data projects with privacy-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level.
If you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and privacy, this course will suit you as well.
What You Will Learn
- Understand what data protection is and why this is important.
- Explain what personal data is, and know the essential facts about the GDPR, what the GDPR has changed compared to previous data protection law.
- Know privacy risks arising from Big Data applications and methods which reduce or prevent privacy risks of data processing activities.
- Know concepts like anonymization and pseudonymization, k-anonymity, differential privacy, secure multiparty computation, and homomorphic encryption.
Syllabus
WEEK 1: Security and privacy for big data - Part 2
