Advanced Certificate in Privacy Preserving Data Analytics

• Data Privacy Fundamentals: Introduction to privacy preserving data analytics, data protection laws and regulations, ethical considerations.
• Cryptography for Privacy: Symmetric and asymmetric encryption, hashing, digital signatures, secure key management.
• Privacy-Preserving Data Mining: Differential privacy, secure multi-party computation, homomorphic encryption, privacy-preserving data publishing.
• Data De-identification Techniques: Pseudonymization, anonymization, k-anonymity, l-diversity, t-closeness.
• Data Governance and Privacy: Data governance frameworks, privacy-by-design, data protection impact assessments, incident response planning.
• Privacy-Preserving Machine Learning: Federated learning, secure and private inference, privacy-preserving deep learning, model inversion attacks and defenses.
• Data Privacy in Cloud Computing: Cloud security models, encryption for cloud data, secure data sharing, cloud access security brokers.
• Legal and Compliance Aspects of Privacy: GDPR, HIPAA, CCPA, PIPEDA, data breach notification requirements, privacy policies and procedures.
• Privacy Evaluation and Continuous Monitoring: Privacy risk assessment, privacy metrics, continuous monitoring, auditing and reporting.