Categorical data represents variables that can be divided into distinct categories, often without a natural order, and is used in statistical analysis to classify data points. Handling categorical data effectively is crucial for accurate data analysis and modeling, as it often requires encoding techniques to convert it into a numerical format for algorithms that require numerical input.