1. Identification: Use statistical methods like the z-score or the IQR method to identify outliers. 2. Exclusion: Remove outliers if they are due to errors. 3. Transformation: Apply data transformations to reduce the impact of outliers. 4. Robust Statistical Methods: Use methods that are less sensitive to outliers.
