Privacy by Design: Data Sharing
1h 15mIntermediate2020-05-04
Authors

Nishant Bhajaria
Privacy and Security Leader and Digital Product Architect
Course details
Data sharing is vital for online businesses. Companies share user data with vendors to help grow their business, boost user engagement, and personalize their products. In addition, companies often have to share data with governments and other regulatory bodies for compliance reasons. In this course, the final installment in the Privacy series, Nishant Bhajaria goes over various techniques you can apply to help bolster data privacy before you share data. Nishant begins by stepping through the various risks associated with data sharing, as well as common misconceptions related to privacy and data sharing. He then shares strategies for protecting data privacy and making more informed data sharing decisions, including how to leverage k-anonymity and l-diversity in your work. Along the way, Nishant shares challenges that allow you to put your new skills to the test.
Skills covered
Data PrivacyData ScienceDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Privacy and data sharing
- 02 - What you should know about this course
1. Data Sharing
- 03 - How data sharing works
- 04 - How data sharing can go wrong
2. No Data for You - Is Data Sharing Always Riddled with Risk
- 05 - Valid reasons for data sharing
- 06 - When data sharing should raise red flags
- 07 - Techniques to minimize privacy risk
3. Common Misconceptions on Data Sharing
- 08 - Why can't we share anonymized data
- 09 - Encryption and data sharing
4. K-Anonymity and Data Sharing
- 10 - What is k-anonymity
- 11 - K-anonymity - A use case
- 12 - K-anonymity - Very coarse data
- 13 - K-anonymity - Very granular data
- 14 - K-anonymity - Industry best practice
5. L-Diversity
- 15 - How l-diversity helps privacy
- 16 - K-anonymity versus l-diversity
- 17 - Challenge
- 18 - Solution
6. Operationalizing Privacy Data Sharing Techniques
- 19 - Identifying and rectifying risk
- 20 - Privacy impact assessments
- 21 - Technical privacy consulting
- 22 - Challenge
- 23 - Solution
7. The Challenge of Privacy - Your Digital Fingerprint
- 24 - Data governance, why it matters
- 25 - Your physical fingerprint
- 26 - Your digital fingerprint
- 27 - The power of joining outside data
8. Conclusion
- 28 - Next steps
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