Anomaly and Outlier Detection Course
This course equips you with skills to detect anomalies and outliers in business intelligence data. You will learn to preprocess time-series data, create statistical and ML detectors, implement alerting mechanisms, and explain issues effectively to prevent revenue losses and data problems in your organisation.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in anomaly and outlier detection for e-commerce metrics through this practical course. Master data preprocessing, statistical methods, and advanced machine learning techniques to identify patterns swiftly. Develop alerting systems, dashboard integrations, and compelling explanations to enable quick, informed business decisions.
Elevify advantages
Develop skills
- Build robust BI pipelines for anomaly detection by cleaning, partitioning, and loading time-series data efficiently.
- Design effective statistical and machine learning detectors for key e-commerce anomalies.
- Set up intelligent alerting systems to reduce false alarms and accelerate responses.
- Communicate anomalies clearly to stakeholders using visuals, stories, and action plans.
- Deploy anomaly detection models with proper versioning, testing, and retraining strategies.
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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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.
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