Welcome to our focused course on Privacy and Data Protection in Big Data Environments. Here, you will delve into not only privacy-preserving methodologies but also explore crucial data protection regulations and concepts. By the end of this course, you'll be empowered to navigate your next Big Data project with confidence, assuring all aspects of privacy and data protection are well-managed.



Security and Privacy for Big Data - Part 2

Instructor: Enrique Barra
Access provided by Martin Luther Christian University
10,503 already enrolled
(262 reviews)
What you'll 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.
Skills you'll gain
Details to know

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There is 1 module in this course
Privacy for Big Data
What's included
11 videos2 assignments
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Reviewed on Mar 14, 2021
Loved how truly introductory this course was. Very useful, thank you.
Reviewed on Aug 30, 2020
I've learned new things concerned with information security that I've never known before in this course.
Reviewed on Jan 25, 2020
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.
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