Cloud Security Basics for Data Science

Cloud Security Basics for Data Science is designed to equip participants with essential knowledge and skills to secure data in cloud environments. The course emphasizes practical, project-based learning, allowing participants to engage in hands-on activities that directly relate to real-world applications. Throughout the program, learners will explore various aspects of cloud security, including data protection, identity management, and compliance frameworks, all tailored specifically for data science applications.
Participants will benefit from an interactive learning environment where they can collaborate on projects and share their findings in Cademix Magazine. By the end of the course, attendees will not only understand the fundamental concepts of cloud security but also gain the confidence to implement security measures in their data science projects. This comprehensive approach ensures that graduates are well-prepared to meet the demands of the job market in the rapidly evolving field of AI and data science.
Introduction to Cloud Computing and Security Fundamentals
Overview of Data Security in Cloud Environments
Identity and Access Management (IAM) in Cloud Platforms
Understanding Cloud Security Frameworks and Standards
Data Encryption Techniques for Cloud Storage
Secure Data Transfer Protocols and Best Practices
Monitoring and Logging for Cloud Security
Incident Response and Recovery Strategies
Compliance and Regulatory Requirements in Cloud Security
Final Project: Developing a Secure Data Science Application in the Cloud

Equip participants with the necessary skills to implement cloud security measures in data science projects effectively.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of data science concepts and familiarity with cloud computing platforms.