Numerical differentiation is a technique used to approximate the derivative of a function using discrete data points, often necessary when an analytical form of the derivative is difficult or impossible to obtain. It is widely used in scientific computing and engineering to solve problems involving rates of change, but care must be taken to manage errors that arise from discretization and finite precision arithmetic.