Data Science for Cybersecurity

Catalog description

Data assembly, exploration, analysis, visualization, and inference. Python libraries such as NumPy, Pandas, and scikit-learn. Students are expected to explore problems related to cybersecurity threats, risks, and incidents that are important for businesses to become safer and less vulnerable to cyberattacks. Students must communicate and present their findings and results. Every student must complete at least one hands-on project. Prior knowledge of probability and statistics at the undergraduate level is assumed. Assumes experience with programming; experience with Python is recommended.