Outlier Analysis is a type of data mining task known as 'outlier mining'. Data scientists may use it to detect fraud in a variety of situations, including unexpected credit card or telecommunications usage, healthcare analysis to detect odd responses to medical treatments, and marketing to discover client purchasing habits. Data Science professionals can find outliers in a variety of methods. All of these strategies use various ways to discover values that are out of the ordinary in contrast to the rest of the dataset.