Cybersecurity for Data Science

This course aims to help anyone interested in data science understand the cybersecurity risks and the tools/techniques that can be used to mitigate those risks. We will cover the distinctions between confidentiality, integrity, and availability, introduce learners to relevant cybersecurity tools and techniques including cryptographic tools, software resources, and policies that will be essential to data science. We will explore key tools and techniques for authentication and access control so p

• Characterize CIA principles and classify cyber scenarios
• Identify and communicate data security vulnerabilities socially and technically
• Distinguish ethical boundaries of hacking
• Engage with professional cybersecurity networks