In the fast-moving environment of data science today, being in a position to extract insights and patterns from large datasets in any professional field is important. Data mining, as one of the core constituents of the workflow in data science, is applied, furnishing a set of powerful techniques and algorithms that will place the data scientist in a better position to reveal hidden trends, predict future outcomes, and make data-driven decisions.