Non-parametric regression is a type of regression analysis that makes no assumptions about the form of the relationship between the independent and dependent variables, allowing for more flexibility in modeling complex data patterns. It is particularly useful when the underlying data structure is unknown or when the data does not fit a linear model, providing a more adaptable approach to data analysis.