Professional Certificate in Data Privacy in Development
-- ViewingNowThe Professional Certificate in Data Privacy in Development is a vital course for professionals seeking to navigate the complex world of data privacy. With the increasing importance of data-driven decision-making, the demand for experts who can ensure data privacy and security has skyrocketed.
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⢠Understanding Data Privacy Fundamentals — This unit covers the basics of data privacy, including primary laws and regulations, key terms, and the importance of protecting personal data. ⢠Data Privacy in Software Development Life Cycle (SDLC) — This unit explores how to incorporate data privacy into each stage of the SDLC, from planning and design to testing, deployment, and maintenance. ⢠Privacy Risk Assessment & Management — This unit teaches participants how to identify, assess, and manage privacy risks in development projects, using tools such as data protection impact assessments (DPIAs) and privacy threat modeling. ⢠Data Minimization and Collection Techniques — This unit covers best practices for collecting, storing, and processing only the minimum amount of personal data necessary, using techniques such as pseudonymization and anonymization. ⢠Privacy-Preserving Data Sharing — This unit explores methods for sharing data while protecting individual privacy, such as differential privacy, secure multi-party computation, and homomorphic encryption. ⢠Data Subject Rights — This unit covers the rights of individuals with regard to their personal data, including data access, rectification, erasure, and portability. ⢠Incident Response and Data Breach Management — This unit teaches participants how to respond to data breaches and other incidents that may compromise personal data, including creating incident response plans and notifying affected individuals and regulators. ⢠Privacy-Enhancing Technologies — This unit explores various privacy-enhancing technologies, such as zero-knowledge proofs, secure enclaves, and trusted execution environments, and how to implement them in development projects. ⢠Data Privacy in Cloud Computing — This unit covers the unique challenges and best practices for ensuring data privacy in cloud computing environments, including multi-tenancy, data localization, and vendor management.
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