Exploring Data Science: Methods, Models, and Applications

Abstract

Extracting useful insights from data has become essential for businesses, researchers, and politicians alike in the digital age, as information is created at an unparalleled rate. In order to analyze and understand big information in order to find patterns, trends, and correlations, a wide range of approaches, techniques, and tools have come together to form the interdisciplinary subject of data science. Data science is essential for decision-making and innovation in a variety of fields, from supply chain optimization to illness diagnosis and consumer behavior prediction.