Central difference is a numerical method for estimating the derivative of a function at a given point by averaging the slopes of secant lines through points on either side of the target point. It provides a more accurate approximation than forward or backward differences, especially for smooth functions, because it reduces the truncation error by considering points symmetrically around the target point.