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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โข Introduction to Anomaly Detection
โข Understanding Data & Feature Engineering
โข Types of Anomalies: Point, Contextual & Collective
โข Anomaly Detection Techniques: Statistical, Machine Learning & Deep Learning
โข Supervised, Unsupervised & Semi-supervised Learning Methods
โข Popular Anomaly Detection Algorithms: Z-score, K-means, Isolation Forest, Autoencoders
โข Performance Metrics for Anomaly Detection
โข Real-world Applications & Case Studies
โข Best Practices & Ethical Considerations in Anomaly Detection
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