Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Privacy by Design: Data Sharing

via LinkedIn Learning

Write review

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Balance growth with trust. Learn how to share data with appropriate privacy controls, including how to use k-anonymity and l-diversity to protect your users' information.

Syllabus

Introduction
  • Privacy and data sharing
  • What you should know about this course
1. Data Sharing
  • How data sharing works
  • How data sharing can go wrong
2. No Data for You: Is Data Sharing Always Riddled with Risk?
  • Valid reasons for data sharing
  • When data sharing should raise red flags
  • Techniques to minimize privacy risk
3. Common Misconceptions on Data Sharing
  • Why can't we share anonymized data?
  • Encryption and data sharing
4. K-Anonymity and Data Sharing
  • What is k-anonymity?
  • K-anonymity: A use case
  • K-anonymity: Very coarse data
  • K-anonymity: Very granular data
  • K-anonymity: Industry best practice
5. L-Diversity
  • How l-diversity helps privacy
  • K-anonymity versus l-diversity
  • Challenge
  • Solution
6. Operationalizing Privacy Data Sharing Techniques
  • Identifying and rectifying risk
  • Privacy impact assessments
  • Technical privacy consulting
  • Challenge
  • Solution
7. The Challenge of Privacy: Your Digital Fingerprint
  • Data governance, why it matters
  • Your physical fingerprint
  • Your digital fingerprint
  • The power of joining outside data
8. Conclusion
  • Next steps

Taught by

Nishant Bhajaria

Reviews

4.7 rating at LinkedIn Learning based on 88 ratings

Start your review of Privacy by Design: Data Sharing

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.