Data transformation refers to the process of converting data from one format or structure into another, typically to make it more suitable for analysis. It involves cleaning, aggregating, and enriching data to enhance its quality and usefulness. Types of data transformation include normalization, filtering, and joining datasets. Benefits include improved data accuracy, consistency, and accessibility, leading to better decision-making and insights.