Overview
Data visualization is a powerful technique for any analyst’s toolkit. The ability to present security data clearly, whether for a SOC dashboard, an incident report, or threat briefing, makes the difference between data that drives decisions and data that gets ignored.
This micro-course covers visualization theory and the practical process of creating effective visualizations using Python. Students work with real security datasets in Jupyter notebooks.
What You Will Learn
- Apply design principles for effective data visualizations
- Use Python modules (matplotlib, seaborn, plotly) to build charts and graphs
- Create both static visualizations for reports and interactive visualizations for exploration
- Choose the right visualization type for different security data scenarios
Topics covered
- Visualization theory and design principles
- Choosing the right chart for security data
- Python visualization modules (matplotlib, seaborn, plotly)
- Static and interactive visualization techniques
- Visualizing network traffic, log data, and threat intelligence
Tools & technologies
PythonJupytermatplotlibseabornCentaur VM