Overview
The ability to work directly with raw data is an extremely useful skill for analysts in any field. Python is one of the most powerful and accessible tools for data analysis and manipulation, and it is the standard language for data science and machine learning in cybersecurity.
This 16-hour course teaches security analysts to apply Python to their daily work. 50% of class time is instructor-led, and 50% is hands-on labs using Jupyter notebooks with real security data.
What You Will Learn
- Apply the syntax and patterns necessary to perform basic analysis using Python
- Read, parse, and manipulate common security data formats
- Build scripts that automate repetitive analysis tasks
- Work with data structures that support analytical workflows
- Prepare for advanced courses in data science and machine learning
Who This Is For
Security analysts, SOC operators, incident responders, and threat intelligence analysts who want to add Python to their toolkit. No prior programming experience required.
Recommended Next Steps
This course is the foundation for GTK Cyber’s more advanced offerings. Students who complete Python Coding for Security Analysts are prepared for Applied Data Science & AI for Cybersecurity and the AI Cyber Bootcamp.
Topics covered
- Python syntax fundamentals
- Script patterns for reading and parsing files
- Data structures (lists, dictionaries) for analytical work
- Working with security data formats (logs, CSVs, JSON)
- Data science project management
- Automating repetitive security analysis tasks