SEC595 empowers cybersecurity professionals to leverage data science, artificial intelligence (AI), and machine learning (ML) to enhance threat detection, incident response, and security automation. This course provides a practical, hands-on approach to applying data-driven techniques for analyzing security data, identifying anomalies, and building predictive models. Participants will learn to work with popular tools and frameworks, explore real-world datasets, and develop ML models to solve cybersecurity challenges such as intrusion detection, malware classification, and phishing detection. SEC595 bridges the gap between data science and cybersecurity, equipping professionals with cutting-edge skills to tackle modern threats effectively.
Syllabus
- Data Acquisition, Cleaning, and Manipulation
- Data Exploration and Statistics
- Essentials of Machine Learning: Trees, Forests, & K-Means
- Essentials of Machine Learning: Deep Learning
- Essentials of Machine Learning: Autoencoders
- Essentials of Machine Learning: Functional Models and Deployment
