Information security is increasingly a data problem. Networks, cloud services, endpoints and applications generate millions of events daily, and standards such as ISO 27001 expect organisations to monitor, measure, analyse and evaluate their security performance. Teams that cannot analyse their own data struggle to find intrusions early, prioritise vulnerabilities or show auditors and boards where risk is rising or falling.

The Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course combines security practice with analytical technique. Participants learn how security data is collected, cleaned and joined, then use SQL, Python and visual tools to investigate incidents, hunt for anomalies and track trends. They then connect this work to the management system: converting risk registers into measurable exposure, defining control effectiveness indicators and building dashboards that support internal audit, management review and continual improvement.

Ten days allow depth. Every topic is paired with a lab on realistic sample data, and the final days are given to an integrated project in which participants investigate a simulated incident and prepare an evidence-based report. Prior familiarity with basic networking and security concepts is helpful.

By the end of the course, participants will be able to:

• Identify and normalise security data sources, including network, endpoint, identity and cloud logs.
• Use SQL and Python with pandas to query, join and investigate security data.
• Build detection rules and hunting queries for common attack techniques.
• Apply statistical and basic machine learning methods to find anomalies and risky behaviour.
• Quantify information security risk using asset, threat and vulnerability data.
• Define metrics that evidence the performance of ISO 27001 controls and processes.
• Design dashboards for the security operations team, management review and auditors.
• Investigate a simulated incident and report findings with supporting evidence.

The course is aimed at professionals who monitor, manage or assure information security, including:

• Security operations centre analysts and incident responders
• Information security and ISMS managers
• IT auditors and internal auditors
• Risk, compliance and data protection officers
• Network and systems administrators
• Cybersecurity and information assurance consultants
• Data analysts and engineers moving into security
• Heads of IT and chief information security officers
• Technology risk staff in banks, telecoms and government

Participants complete the course with:

• A library of SQL and Python queries for common security investigations.
• Detection rule examples mapped to typical attack techniques.
• A quantitative risk worksheet linked to an asset register.
• A set of ISO 27001 control effectiveness metrics and definitions.
• Dashboard designs for operations, management review and audit.
• A completed incident investigation report using evidence from the lab dataset.

The course is built around hands-on analysis of realistic security data. Participants experience:

• Daily labs in SQL and Python using sample logs from network, identity, endpoint and cloud sources
• Short briefings that tie each technique to a requirement or clause of ISO 27001
• Detection and tuning clinics where groups critique one another's rules
• A simulated incident that runs across the final days
• Template building for metrics, dashboards and audit evidence

On attending all ten days and completing the labs and incident project, participants are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.