Live Online Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course
Live online, instructor-led · next cohort Oct 19, 2026 · from USD 1,700
Security teams are flooded with logs, alerts and audit evidence, yet many still report on activity rather than risk. Ten days teach information security professionals to turn that data into detection, decisions and proof that controls under ISO 27001 actually work.
The first half builds the analytical base: log sources, SIEM concepts, data collection and normalisation, SQL and Python with pandas for investigation, visualisation, threat intelligence and detection rules. The second half applies analytics to the information security management system: asset and risk data, quantitative risk methods, control metrics, vulnerability and incident trends, user behaviour analytics, anomaly detection with basic machine learning, internal audit sampling and management review dashboards. Labs use sample firewall, authentication, endpoint and cloud logs. The course suits security analysts, SOC staff, ISMS managers, information security officers, IT auditors, risk and compliance professionals and data analysts moving into security. Delivery is by classroom, online or in-house, and a CPD-accredited certificate is awarded. Afterwards you can build detection queries, measure control performance and present audit-ready security reporting to executives and certification auditors.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Oct 19, 2026, Nov 16, 2026, Dec 14, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
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.
Training Objectives
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.
What you'll learn
Key Takeaways
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.
Training Methodology
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
Day 1: Security Data Foundations
- Security objectives, ISO 27001 structure and where data fits
- Log sources: firewall, proxy, authentication, endpoint and cloud
- Data formats, timestamps and normalisation
- SIEM and log management concepts
- Evidence handling and data privacy in analysis
- Lab: exploring a sample security log set
Day 2: SQL for Security Investigation
- Querying events with SELECT, filters and aggregation
- Joins across identity, asset and event tables
- Time-window and frequency analysis
- Building reusable investigation queries
- Performance and data volume considerations
- Lab: tracing a compromised account with SQL
Day 3: Python and Pandas for Security Analysis
- Loading and cleaning log data in pandas
- Parsing, enrichment and lookups
- Grouping, pivoting and time series
- Working with IP, domain and hash indicators
- Notebook workflow and reproducibility
- Lab: automating a daily log review
Day 4: Visualisation and Threat Intelligence
- Choosing charts for security questions
- Dashboards for alerts, trends and geography
- Threat intelligence feeds and indicator matching
- Mapping observations to the MITRE ATT&CK framework
- Avoiding misleading security statistics
- Lab: building an investigation dashboard
Day 5: Detection Engineering
- Rule-based detection and signature logic
- Baselines, thresholds and false positives
- Writing and testing detection queries
- Detecting brute force, lateral movement and data exfiltration
- Alert triage metrics and tuning
- Lab: developing and tuning detection rules
Day 6: Anomaly Detection and User Behaviour Analytics
- Statistical outliers and baselining behaviour
- Clustering and unsupervised methods for security data
- Supervised models: strengths, limits and bias
- Insider threat and account misuse indicators
- Evaluating models with precision and recall
- Lab: anomaly detection on authentication logs
Day 7: Quantifying Information Security Risk
- Asset, threat and vulnerability data for risk analysis
- Qualitative and quantitative risk methods
- Vulnerability data analysis and prioritisation
- Loss estimation and risk scenarios
- Risk treatment tracking and residual risk
- Workshop: converting a risk register into measurable exposure
Day 8: Measuring the ISMS and ISO 27001 Controls
- Monitoring, measurement, analysis and evaluation requirements
- Control effectiveness and process performance indicators
- Incident, vulnerability, patching and access review metrics
- Internal audit sampling and evidence analysis
- Management review inputs and reporting
- Lab: building an ISMS metrics pack
Day 9: Integrated Incident Analytics Project
- Briefing on a simulated incident dataset
- Scoping, triage and timeline reconstruction
- Combining SQL, Python and dashboards in the investigation
- Root cause and control gap analysis
- Containment and corrective action recommendations
- Project lab: investigation and evidence log
Day 10: Reporting, Governance and Improvement
- Writing evidence-based incident and risk reports
- Executive and board security reporting
- Preparing for certification and surveillance audits
- Data governance for security analytics
- Presentation of project findings
- Improvement roadmap and course review
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
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.
Choose Where You Want to Learn
Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course
Everything you need to know about this course before you register.
By the end of the Data and Analytics for Cybersecurity & Information Security (ISO 27001) programme, you'll 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, and apply statistical and basic machine learning methods to find anomalies and risky behaviour. The full breakdown of topics is covered session by session in the Course Outline tab above.
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, and Technology risk staff in banks, telecoms and government.
Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for Cybersecurity & Information Security (ISO 27001) starts November 16, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for Cybersecurity & Information Security (ISO 27001) Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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