This interactive course will teach security professionals how to use data science techniques to quickly manipulate and analyze network and security data and ultimately uncover valuable insights from this data.
The course will cover the entire data science process from data preparation, feature engineering and selection, exploratory data analysis, data visualization, machine learning, model evaluation and optimization and finally, implementing at scale—all with a focus on security related problems. Participants will learn how to read in data in a variety of common formats then write scripts to analyze and visualize that data.
Anyone who wishes to incorporate automated data analysis, machine learning and data science into their work.
Students will need to have an understanding of Python.
Students should bring a laptop with either:
We strongly recommend using the virtual machine we will provide as it will give the best student experience.