Getting Started with Anomaly Detection

About this course

Build a solid foundation in anomaly detection from scratch.

• 5 lessons
• 30 min
• beginner

What you'll learn

• Define anomaly detection and understand its relationship to unsupervised machine learning
• Trace the historical evolution of anomaly detection from statistical roots to modern applications
• Recognize why anomaly detection is critical for cybersecurity, fraud detection, and system monitoring
• Differentiate between point anomalies, contextual anomalies, and collective anomalies
• Apply the understanding of anomaly types to real-world data scenarios
• Recognize how anomaly type influences the choice of detection technique

Finishing the course

• 20 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.
• Part of the Machine Learning Fundamentals and Applications learning path. Enrol in the path and finish its required courses to earn one certificate for all of them.

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