Anomaly detection courses can help you learn statistical methods, machine learning techniques, and data preprocessing strategies. You can build skills in identifying outliers, implementing clustering algorithms, and applying time series analysis. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, as well as software for data visualization, which enhance your ability to analyze and interpret complex datasets.