Anomaly and Outlier Detection Course
This course equips you with essential skills to detect and respond to anomalies in e-commerce data using statistical and machine learning techniques, enabling faster decision-making through effective pipelines, alerting, and communication strategies.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Master practical anomaly and outlier detection for daily e-commerce metrics in this focused, high-impact course. Learn robust preprocessing, statistical baselines, and modern machine learning methods to spot unusual patterns quickly and reliably. Build effective alerting workflows, integrate results into dashboards, and deliver clear, data-backed explanations that drive faster, more confident decisions.
Elevify advantages
Develop skills
- Build anomaly-ready BI pipelines: clean, partition, and load time-series data fast.
- Design statistical and ML detectors for daily e-commerce anomalies that matter.
- Configure smart alerting workflows that cut noise and speed up incident response.
- Explain anomalies to business leaders with clear visuals, narratives, and next steps.
- Operationalize anomaly models with versioning, backtesting, and retraining plans.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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