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. 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.
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Security and Privacy for Big Data - Part 2
EIT DigitalAbout this Course
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Try Coursera for BusinessWhat 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.
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Syllabus - What you will learn from this course
SECURITY AND PRIVACY FOR BIG DATA - PART 2
Reviews
- 5 stars75.33%
- 4 stars21.52%
- 3 stars2.24%
- 2 stars0.44%
- 1 star0.44%
TOP REVIEWS FROM SECURITY AND PRIVACY FOR BIG DATA - PART 2
The course provided useful examples relating to healthcare/ hospital data which was relevant for my learning.
The information was presented clearly and was well structured.
The course structure is very easy to understand and follow allowing even freshers like me to understand it easily.
This course is a short and succinct overview on various Data protection and privacy topic.
This course has helped me to the great extent to make understand about data privacy in depth
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