Outlier detection is a crucial step in data analysis that involves identifying and possibly excluding anomalous data points that deviate significantly from the rest of the dataset. These outliers can skew results and lead to inaccurate conclusions, making their detection essential for ensuring data integrity and reliability in statistical analysis and machine learning models.