Data sampling is a statistical technique used to select, manipulate, and analyze a representative subset of data points from a larger dataset to infer conclusions about the entire population. This method is crucial for making data analysis feasible and cost-effective, especially when dealing with large datasets, while ensuring that the sample accurately reflects the diversity and characteristics of the whole dataset.