Advanced Certificate in Secure Coding for Data Science
-- ViewingNowThe Advanced Certificate in Secure Coding for Data Science is a vital course that addresses the rising demand for cybersecurity in the data science industry. This certification equips learners with essential skills to create secure data science applications, a critical aspect often overlooked in many data science programs.
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โข Secure Data Management: Understanding secure data storage and access control in data science
โข Cryptography for Data Scientists: Techniques for secure data transmission and storage, including symmetric and asymmetric encryption, hash functions, and digital signatures
โข Secure Data Analysis: Methods for secure data analysis, including techniques for anonymization and de-identification
โข Secure Machine Learning: Strategies for securing machine learning models and data, including differential privacy and secure multi-party computation
โข Secure Software Development: Best practices for secure software development, including threat modeling, secure coding practices, and secure deployment
โข Security Testing for Data Science: Techniques for testing the security of data science applications and models
โข Security Compliance for Data Science: Understanding and complying with relevant security regulations, standards, and best practices, such as GDPR, HIPAA, and NIST
โข Incident Response for Data Science: Strategies for responding to security incidents, including containment, eradication, and recovery
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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