Graduate Certificate in Anomaly Detection in Time Series
-- ViewingNowThe Graduate Certificate in Anomaly Detection in Time Series is a vital course that addresses the increasing industry demand for experts who can identify and handle anomalies in time-series data. This certification equips learners with essential skills to advance their careers in data analysis, machine learning, and related fields.
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โข Unit 1: Introduction to Time Series Analysis
โข Unit 2: Anomaly Detection Fundamentals
โข Unit 3: Time Series Anomaly Detection Techniques
โข Unit 4: Supervised Learning Approaches for Anomaly Detection
โข Unit 5: Unsupervised Learning Approaches for Anomaly Detection
โข Unit 6: Semi-supervised Learning Approaches for Anomaly Detection
โข Unit 7: Evaluation Metrics for Anomaly Detection
โข Unit 8: Real-world Applications of Time Series Anomaly Detection
โข Unit 9: Ethical and Legal Considerations in Anomaly Detection
โข Unit 10: Current Trends and Future Directions in Anomaly Detection
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