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 New York State Department of Labor
10,339 already enrolled
(257 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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257 reviews
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Reviewed on May 26, 2022
I achived agreat skill within a shot time the lesson is very compact and learning deply is necessary further.
Reviewed on Mar 15, 2021
Loved how truly introductory this course was. Very useful, thank you.
Reviewed on Jan 26, 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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