Professional Training Course in Cyber Data Analysis – U.S. Standards (Online / Remote)
1Summary
Every attack leaves a trace somewhere in the data — unusual traffic, a login at an odd hour, a file touched by an account that has no business touching it. Catching it early is a matter of skilled data analysis, not luck or intuition.
As the volume of cyber data organisations generate keeps growing, the ability to collect, interpret and act on it — in line with recognised U.S. standards such as NIST and ISO 27001 — has become a core cybersecurity discipline in its own right, not a side task for the IT team.
The Arab British Fellowship Training Academy's "Cyber Data Analysis" course builds that discipline from the ground up: participants learn to collect and analyse cyber data, apply statistical and machine-learning tools to spot patterns, and turn raw data into the kind of actionable insight that stops a threat before it spreads.
2Objectives and target group
Who Should Attend?
- Cybersecurity analysts developing their skills in analysing threat-related data.
- IT specialists and system administrators who work with cyber data day to day.
- Cybersecurity managers applying U.S. standards across their teams.
- Compliance officers who need to analyse cyber data within legal and regulatory frameworks.
- Cybersecurity consultants advising organisations on managing and protecting cyber data.
Knowledge and Benefits:
- Understand what cyber data is, and how to collect and analyse it in line with U.S. standards.
- Apply modern tools and techniques to detect threats through data analysis.
- Extract patterns and trends from cyber data that point to suspicious activity.
- Use statistical analysis, machine learning and network analysis to spot abnormal behaviour.
- Turn raw cyber data into actionable insight that strengthens threat detection.
- Apply NIST, ISO 27001 and related U.S. standards across different operational environments.
3Course Content
Module 1: What Counts as Cyber Data, and Where It Comes From
- Defining cyber data and mapping its main sources across an organisation.
- U.S. standards that shape how that data should be secured and handled.
Module 2: Collecting Data Without Drowning in It
- Practical techniques for structured, reliable data collection.
- The essential tools every cyber data analyst should know.
Module 3: Turning Raw Data into Analysis
- Core techniques for analysing cyber data, from log review to statistical methods.
- Network traffic analysis as an early-warning tool.
Module 4: Bringing Machine Learning into the Analysis Process
- Where machine learning genuinely improves pattern detection, and where it doesn't.
- Network analysis tools built for real-time monitoring.
Module 5: Spotting Patterns and Confirming a Threat
- Techniques for detecting patterns and anomalies that signal a real threat.
- Distinguishing genuine threat indicators from ordinary noise in the data.
Module 6: Responding Fast Once a Threat Is Confirmed
- Moving from detection to a rapid, coordinated response.
- Working effectively with security teams once an indicator is flagged.
Module 7: Staying Compliant While Analysing Data
- Applying U.S. standards such as NIST and ISO 27001 throughout the analysis process.
- Building reports and managing cyber data information in a compliant, auditable way.
Module 8: Looking Ahead: Analysing Future Threats
- Using current data to anticipate emerging threat patterns.
- The evolving role of AI and machine learning in forward-looking analysis.
Module 9: Keeping the Analysis Practice Current
- Adapting continuously as cybersecurity frameworks evolve.
- Building a habit of ongoing analysis rather than one-off assessments.