Data Mining
Data mining is the process of discovering patterns, correlations, and insights from large datasets using techniques from statistics, machine learning, and database systems. It involves extracting valuable information from raw data to support decision-making, predict trends, and identify hidden relationships. Common applications include market basket analysis, fraud detection, customer segmentation, and scientific discovery.
Developers should learn data mining when working on projects that require analyzing large volumes of data to uncover actionable insights, such as in business intelligence, recommendation systems, or research applications. It is essential for roles involving data analysis, predictive modeling, or building data-driven products, as it helps transform raw data into meaningful knowledge for strategic decisions.