Anomaly Detection in Real Time - Simplicity Is the Ultimate Sophistication

This course teaches learners how to detect anomalies in real-time data processing using a simple statistical model. The goal is to enable participants to identify issues such as heavy web traffic anomalies or a decrease in search events promptly. The course covers topics such as creating a simple model, understanding outliers, implementing the solution in Scala, and addressing potential challenges. The teaching method involves a combination of theoretical explanations, practical demonstrations, and real-world examples. This course is intended for software engineers, data scientists, and developers interested in anomaly detection, machine learning, Scala, and real-time data processing.