Certificate in Anomaly Detection for Aspiring Data Scientists
-- ViewingNowThe Certificate in Anomaly Detection for Aspiring Data Scientists is a comprehensive course designed to equip learners with the essential skills to identify and respond to anomalies in data sets. This course is critical for data scientists seeking to enhance their analytical and problem-solving skills in an increasingly data-driven world.
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⢠Introduction to Anomaly Detection
⢠Understanding Data & Feature Engineering
⢠Types of Anomalies: Point, Contextual & Collective
⢠Anomaly Detection Techniques: Statistical, Machine Learning & Deep Learning
⢠Supervised, Unsupervised & Semi-supervised Learning Methods
⢠Popular Anomaly Detection Algorithms: Z-score, K-means, Isolation Forest, Autoencoders
⢠Performance Metrics for Anomaly Detection
⢠Real-world Applications & Case Studies
⢠Best Practices & Ethical Considerations in Anomaly Detection
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