In Data Science, Anomalies are referred to as data points (usually referred to multiple points), which do not conform to an expected pattern of the other items in the data set. An Outlier is a rare chance of occurrence within a given data set. In Data Science, an Outlier is an observation point that is distant from other observations. An Outlier may be due to variability in the measurement or it may indicate an experimental error.