- Level Foundation
- Duration 1 hour
- Course by EIT Digital
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Offered by
About
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. 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.Modules
Privacy for Big Data
1
Assignment
- Privacy for Big Data
6
Videos
- Social costs of Big Data
- Anonymizing and pseudonymizing data
- Differential Privacy
- Differential Privacy methods
- Homomorphic encryption
- Secure Multiparty Computation
Data protection for Big Data
1
Assignment
- Data protection for Big Data
5
Videos
- Data Protection Law for Big Data
- General Data Protection Regulation (GDPR)
- Important changes resulting from the GDPR
- Personal Data
- Personal data and Big Data applications
Auto Summary
Dive into "Security and Privacy for Big Data - Part 2" to master privacy-preserving methodologies and data protection regulations in Big Data environments. Perfect for ICT professionals and system managers, this foundational Coursera course will help you recognize dangers and improve your systems sustainably. Ideal for those with a background in Big Data or IT, but also accessible to product managers. Complete it in just one month with a Starter subscription.

Instructor
Enrique Barra