Data anonymization and GDPR

Code Academy, Full-stack dev.

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24 Videos (2h 18m)
    • 1) Privacy and personal data

      5:59
    • 1.2) Privacy in Health

      5:32
    • 1.3) Legislation

      4:54
    • 1.4) GDPR

      13:10
    • 2.1) Anonymization process

      9:15
    • 2.2) Techniques to Anonymize Data

      8:58
    • 2.3) De-identification software

      1:35
    • 2.4) Random Data Generator

      5:54
    • 3.1) Create a new project and load generated dataset

      5:56
    • 3.2) Configuration and testing of anonymization/privacy models

      7:52
    • 3.3) Further settings and tweaks

      2:12
    • 3.4) Conclusion

      3:09
    • 4.1) Insufficient identification

      5:35
    • 4.2) External Data Source linking

      3:16
    • 4.3) Reversal of Pseudonyms

      2:52
    • 5.1) Anonymization through synthetic generation of data

      13:50
    • 5.2) Stack Overflow Dataset

      1:45
    • 5.3) Mockaroo

      8:55
    • 5.4) Databake

      7:45
    • 5.5) Anonymity benchmark (original dataset)

      4:44
    • 5.6) Synthetic data injection

      8:11
    • 5.7) Conclusions and notes

      3:53
    • 6) Conclusion

      2:04
    • Thank YOU GDPR

      0:15

About This Class

Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous.

The European Union's new General Data Protection Regulation demands that stored data on people in the EU undergo either an anonymization or a pseudonymization process.

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The instructor's way of pronouncing some words may sometimes get in the way of you understanding him. The lessons on GDPR present an outline of the regulation so you can get an overview of what it's all about. Those on anonymisation software lack in giving you the proper purpose of the technique and why you should click on certain elements of the program which is basically knowledge without comprehension and therefore, quite useless. Anyway, you can use this course to familiarise yourself with anonymisation and its techniques but this is also where the quest for knowledge ends, at least regarding this course.

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