Data mining is the process of discovering patterns, correlations, and trends by sifting through large datasets using statistical, machine learning, and algorithmic techniques. It involves several key steps, including data cleaning, integration, selection, transformation, mining, and interpretation. The primary goal is to extract useful information that can be used to make informed decisions or to gain a deeper understanding of the data.