Home Specialist skills Security SEC595: Applied Data Science and Machine Learning for Cybersecurity Professionals
SEC595: Applied Data Science and Machine Learning for Cybersecurity Professionals
Apply statistical models to real world problems in meaningful ways
Generate visualisations of the data
Understand and apply unsupervised learning/clustering methods
Build and understand Deep Learning Neural and Convolutional Neural Networks
Understand and build Genetic Search Algorithms
Overview
Off the shelf (OTS)
SEC595 provides students with a crash-course introduction to practical data science, statistics, probability and machine learning. The course is structured as a series of short discussions with extensive hands-on labs that help students to develop useful intuitive understandings of how these concepts relate and can be used to solve real-world problems. If you've never done anything with data science or machine learning but want to use these techniques, this is definitely the course for you!
Delivery method
Face to face
Virtual
Digital
Course duration
48 hours
Competency level
Working
Delivery method
-
Face to face
-
Virtual
-
Digital
Course duration
48 hours
Competency level
-
Working