Anomaly Detection in Operational Data
Problems announce themselves in data before anyone notices them in the operation. This course covers finding the unusual in operational data without drowning in false alarms.
Course outline
What this programme covers, module by module.
- 01Problems visible in data before anyone notices
- 02Defining anomalous for your specific operation
- 03Establishing normal behaviour and expected variation
- 04Statistical detection methods and thresholds
- 05Rule based detection and combining approaches
- 06Seasonality, trend and legitimate variation
- 07Sensitivity, false alarms and routing to action
What you will gain
- Define what counts as anomalous for your operation
- Establish normal behaviour and its variation
- Apply statistical and rule based detection
- Handle seasonality and legitimate variation
- Tune sensitivity against false alarm cost
- Route detections to people who can act
Who should attend
- Data analysts and engineers
- Operations and monitoring staff
- Risk, fraud and audit analysts
- Quality and process engineers
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 9 to 11 Nov 2026 | Pretoria | 3 Days | R13,000 | |
| 30 Nov to 2 Dec 2026 | Durban | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | Cape Town | 3 Days | R13,000 | |
| 8 to 10 Feb 2027 | London | 3 Days | US$1,500 | |
| 19 to 21 Apr 2027 | Dubai | 3 Days | US$1,500 | |
| 21 to 23 Jun 2027 | Pretoria | 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
- Data & Analytics
- Formats
- In-house, public, online
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