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 CSU Sacramento, College of Business
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

Add to your LinkedIn profile
2 assignments
See how employees at top companies are mastering in-demand skills

There is 1 module in this course
Privacy for Big Data
What's included
11 videos2 assignments
Instructor

Offered by
Why people choose Coursera for their career




Learner reviews
262 reviews
- 5 stars
76.33%
- 4 stars
20.61%
- 3 stars
2.29%
- 2 stars
0.38%
- 1 star
0.38%
Showing 3 of 262
Reviewed on Sep 5, 2022
awesome opportunity to develop myself intellectually in data security and protection. Also the need to comply with data regulations.
Reviewed on Sep 3, 2023
As a person looking to develop knowledge in this field, this course was great to start with!
Reviewed on Aug 23, 2019
The course was very informative and bit challenging MCQ's. Really enjoyed completing this course.
Explore more from Information Technology
EIT Digital
University of Michigan
Coursera Instructor Network