As data scientists, it is important to detect and handle outliers in data preprocessing.Two powerful methods to detect outliers are Z-score and Interquartile Range (IQR).Z-score measures the number of standard deviations a data point is away from the mean.A Z-score greater than 3 or less than -3 indicates an outlier.