Executive Development Programme in Anomaly Detection Methods: Career Growth
-- ViewingNowThe Executive Development Programme in Anomaly Detection Methods is a career growth certificate course designed to equip learners with essential skills in identifying and handling anomalies in data. This program is critical for professionals working in data analysis, cybersecurity, finance, and other industries that rely heavily on data-driven decision-making.
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โข Anomaly Detection Methods: Introduction
โข Importance of Anomaly Detection in Business Operations
โข Types of Anomaly Detection Techniques: Supervised, Unsupervised, and Semi-supervised Learning
โข Common Anomaly Detection Algorithms: Linear Regression, ARIMA, SVM, Random Forest, and Neural Networks
โข Anomaly Detection in Big Data: Hadoop, Spark, and Flink
โข Real-World Applications of Anomaly Detection in Fraud Detection, Network Security, and Industrial IoT
โข Metrics for Evaluating Anomaly Detection Models: Precision, Recall, F1-Score, ROC Curve, and AUC
โข Best Practices for Implementing Anomaly Detection Systems in Production Environments
โข Career Opportunities in Anomaly Detection: Data Scientist, Machine Learning Engineer, and Security Analyst
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