Description: A deep dive into advanced machine learning techniques for security data analysis, including unsupervised learning and deep learning applications.
Learning Objectives: Students will master security-specific ML techniques, such as adversarial machine learning and anomaly detection.
Course Duration: 70 hours
Prerequisites: Advanced machine learning expertise, familiarity with cyber security concepts
Target Audience: Data scientists and cyber security analysts
Description: This course teaches the fundamentals of digital forensics, including data acquisition, analysis, and reporting, with a focus on using Python for forensic investigations.
Learning Objectives: Participants will learn to apply Python to extract and analyse data from various digital sources, including computers and mobile devices.
Course Duration: 40 hours
Prerequisites: Basic Python skills, foundational knowledge of digital forensics
Target Audience: Law enforcement, cyber security professionals, and students interested in forensics