Global Learning for Operational Leaders
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Organisations want to analyse and share data while protecting personal privacy and complying with data protection laws. Anonymisation and privacy-preserving techniques make this possible when applied correctly.
This Aractech course explains personal data and re-identification risk, pseudonymisation and anonymisation techniques, aggregation, data masking, differential privacy concepts, synthetic data, risk assessment and governance. Participants assess and anonymise sample datasets.
What you will achieve
Learning objectives
- Explain personal data and re-identification risks
- Distinguish pseudonymisation and anonymisation
- Apply masking, aggregation and generalisation
- Understand differential privacy and synthetic data
- Assess anonymisation effectiveness
- Govern privacy-preserving analytics
Who should attend
Target audience
- Data analysts and scientists
- Data protection officers
- Data governance professionals
- Researchers
- IT professionals
- Public sector data officials
Methodology
Learning approach
- Concept sessions
- Hands-on anonymisation exercises
- Risk assessment workshop
- Case studies
- Group discussions
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Privacy and Data
- Personal data
- Legal requirements
- Re-identification risk
- Coffee break
- Re-identification risk (continued)
- Case examples
- Exercise: Dataset risk review
Day 2
Techniques
- Pseudonymisation
- Masking
- Generalisation
- Coffee break
- Generalisation (continued)
- Aggregation
- Lab: Anonymising a dataset
Day 3
Advanced Approaches
- Differential privacy concepts
- Synthetic data
- Secure computation overview
- Coffee break
- Secure computation overview (continued)
- Trade-offs
- Case study: Synthetic data use
Day 4
Risk Assessment
- Assessment methods
- Motivated intruder test
- Documentation
- Coffee break
- Documentation (continued)
- Residual risk
- Exercise: Risk assessment
Day 5
Governance
- Policies
- Data sharing agreements
- Roles
- Coffee break
- Roles (continued)
- Monitoring
- Capstone: Privacy-preserving analytics plan
FAQ
Frequently asked questions
What does Data Anonymisation and Privacy-Preserving Analytics (DMBI-039) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Data analysts and scientists, Data protection officers, Data governance professionals
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Paris, Munich, Kuala lumpur, Amsterdam, London, Cape Town.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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Choose an available date and venue, add your participants, and we will email a formal quotation for Data Anonymisation and Privacy-Preserving Analytics to your business address.