Synthetic Data and Privacy Preserving Analytics
Useful data is often too sensitive to share, and stripping identifiers rarely makes it safe. This course covers the techniques that allow analysis without exposing individuals.
Course outline
What this programme covers, module by module.
- 01Why removing identifiers does not make data safe
- 02Re identification risk and how it is measured
- 03Aggregation, suppression and generalisation
- 04Synthetic data generation and retaining utility
- 05Noise based techniques and privacy budgets
- 06The privacy and utility trade off
- 07Choosing a technique and documenting the decision
What you will gain
- Explain why removing identifiers is not enough
- Assess re identification risk in a dataset
- Generate synthetic data that retains utility
- Apply noise based privacy techniques
- Evaluate the trade off between privacy and utility
- Decide which technique suits a given use
Who should attend
- Data scientists and analysts
- Privacy and compliance professionals
- Researchers working with sensitive data
- Data governance staff
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 26 to 28 Oct 2026 | Cape Town | 3 Days | R13,000 | |
| 16 to 18 Nov 2026 | Johannesburg | 3 Days | R13,000 | |
| 30 Nov to 2 Dec 2026 | London | 3 Days | US$1,500 | |
| 11 to 13 Jan 2027 | Dubai | 3 Days | US$1,500 | |
| 1 to 3 Mar 2027 | Pretoria | 3 Days | R13,000 | |
| 17 to 19 May 2027 | Durban | 3 Days | R13,000 | |
| 19 to 21 Jul 2027 | Cape Town | 3 Days | R13,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R13,000 per delegate
- Duration
- 3 Days
- Field
- Artificial Intelligence & Emerging Technology
- Formats
- In-house, public, online
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