Privacy and Data Protection in Big Data
( 24 Modules )

Module #1
Introduction to Privacy and Data Protection
Overview of the importance of privacy and data protection in the era of big data

Module #2
Data Protection Regulations and Laws
Review of major data protection regulations and laws, including GDPR and CCPA

Module #3
Data Privacy Principles
Key principles of data privacy, including transparency, consent, and data minimization

Module #4
Big Data and Privacy Risks
Understanding the privacy risks associated with big data, including re-identification and profiling

Module #5
Data Anonymization and Pseudonymization
Techniques for data anonymization and pseudonymization, including k-anonymity and differential privacy

Module #6
Encryption and Access Control
Role of encryption and access control in protecting sensitive data

Module #7
Data Protection by Design and Default
Integrating data protection into the design of big data systems and processes

Module #8
Privacy Impact Assessment
Conducting privacy impact assessments to identify and mitigate privacy risks

Module #9
Data Subject Rights
Understanding and implementing data subject rights, including access, rectification, and erasure

Module #10
Data Breach Notification
Requirements and best practices for data breach notification

Module #11
Third-Party Risk Management
Managing privacy and data protection risks associated with third-party vendors and service providers

Module #12
Cloud Computing and Privacy
Privacy considerations for cloud computing, including data location and outsourcing

Module #13
Artificial Intelligence and Machine Learning Privacy
Privacy implications of AI and ML, including bias and discrimination

Module #14
Internet of Things (IoT) Privacy
Privacy considerations for IoT devices and networks

Module #15
Data Protection Officer (DPO) Role and Responsibilities
Role of the DPO in ensuring compliance with data protection regulations

Module #16
Privacy by Design in Big Data Analytics
Applying privacy by design principles to big data analytics

Module #17
Privacy-Enhancing Technologies
Overview of PETs, including homomorphic encryption and secure multi-party computation

Module #18
Data Protection in Cross-Border Data Transfers
Privacy and data protection considerations for cross-border data transfers

Module #19
Privacy and Data Protection in Healthcare
Special considerations for privacy and data protection in healthcare and biomedical research

Module #20
Privacy and Data Protection in Finance
Special considerations for privacy and data protection in finance and banking

Module #21
Privacy and Data Protection in Government and Law Enforcement
Special considerations for privacy and data protection in government and law enforcement

Module #22
Privacy and Data Protection in Education
Special considerations for privacy and data protection in education and research

Module #23
Case Studies in Privacy and Data Protection
Real-world examples of privacy and data protection challenges and solutions

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Privacy and Data Protection in Big Data career

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Privacy and Data Protection in Big Data ( 24 Modules )

Privacy and Data Protection in Big Data
( 24 Modules )