Advanced Data Privacy Techniques
( 24 Modules )

Module #1
Introduction to Advanced Data Privacy
Overview of the importance of data privacy, current challenges, and objectives of the course

Module #2
Data Privacy Fundamentals
Review of data privacy principles, regulations, and standards (GDPR, CCPA, HIPAA, etc.)

Module #3
Threat Modeling for Data Privacy
Understanding threat modeling concepts and their application to data privacy

Module #4
Anonymization and Pseudonymization
Techniques for anonymizing and pseudonymizing data to protect individual privacy

Module #5
Encryption for Data Protection
Cryptography techniques for protecting data at rest and in transit

Module #6
Secure Multi-Party Computation
Introduction to secure multi-party computation and its applications

Module #7
Differential Privacy
Understanding differential privacy and its application to data analysis

Module #8
Privacy-Preserving Data Mining
Techniques for privacy-preserving data mining and knowledge discovery

Module #9
Homomorphic Encryption
Introduction to homomorphic encryption and its applications

Module #10
Zero-Knowledge Proofs
Understanding zero-knowledge proofs and their application to data privacy

Module #11
Privacy-Enhancing Technologies (PETs)
Overview of PETs, including Tor, VPNs, and other tools

Module #12
Privacy in Machine Learning
Techniques for privacy-preserving machine learning and model training

Module #13
Privacy in Cloud Computing
Privacy considerations and solutions for cloud-based data storage and processing

Module #14
Data Protection by Design and Default
Implementing data protection principles in system design and development

Module #15
Privacy Impact Assessments and Risk Management
Conducting privacy impact assessments and managing privacy risks

Module #16
Data Breach Response and Incident Management
Responding to data breaches and managing privacy incidents

Module #17
Global Data Privacy Regulations
Overview of global data privacy regulations, including GDPR, CCPA, and others

Module #18
Privacy in Emerging Technologies
Privacy considerations in emerging technologies, such as IoT, AI, and blockchain

Module #19
Privacy and Ethics in Data Science
Ethical considerations and principles for data science and analytics

Module #20
Advanced Data Privacy Case Studies
Real-world case studies of advanced data privacy techniques and applications

Module #21
Privacy Engineering and Architecture
Designing and implementing privacy-preserving systems and architectures

Module #22
Privacy Measurement and Metrics
Defining and measuring privacy metrics and benchmarks

Module #23
Privacy in DevOps and Continuous Integration
Integrating privacy considerations into DevOps and continuous integration pipelines

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Data Privacy Techniques career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Advanced Data Privacy Techniques ( 24 Modules )

Advanced Data Privacy Techniques
( 24 Modules )