Anomaly detection helps spot unusual patterns in data, like fraud or equipment problems, before they cause harm. This article clearly explains what anomalies are, types like point, contextual, and collective anomalies, and shows why finding them matters in finance, health, and IT. It covers simple statistical methods and advanced machine learning, with practical tips for getting started and real-life examples. I liked how it offered advice for beginners and highlighted tools like reCost.io for cloud storage savings. Overall, this article is a great, easy-to-understand guide for anyone wanting to learn about anomaly detection.