3.0

credits

Average Course Rating

Security analytics refers to information technology solutions that gather and analyze security events to bring situational awareness and enable IT staff to understand and analyze events that pose the greatest risk. Increasingly, detecting and preventing cyber attacks require sophisticated use of data analytics and machine learning tools. This course will cover fundamental theories and methods in data science, modern security analytical tools, and practical use cases of security analytics. Students of this course learn concepts, tasks, and methods of data science; and how to apply data science to cyber security problems. Students also learn how to use modern software in security analytics. Recommend Course Background: Basic knowledge of statistics; Either python or R programming skill (do not require both).