Data cleaning is the process of detecting and correcting or removing corrupt, inaccurate, or irrelevant records from a dataset, thereby improving the quality and reliability of the data. It is a crucial step in data preprocessing that ensures the data is accurate, consistent, and usable for analysis and decision-making.