Data Science is an interdisciplinary field that combines statistics, mathematics, computer science, machine learning, artificial intelligence, and domain knowledge to extract meaningful insights from structured and unstructured data. It enables organizations to analyze large volumes of data, identify patterns, predict future trends, and support evidence-based decision making. With the rapid growth of digital technologies, cloud computing, Internet of Things (IoT), and social media platforms, Data Science has become a fundamental component of modern businesses, governments, healthcare systems, scientific research, and education. The scope of Data Science is extensive and continuously expanding. It includes data collection, data storage, data cleaning, data integration, exploratory data analysis, statistical modeling, machine learning, data visualization, and deployment of predictive models. Data Science also involves handling big data using technologies such as Hadoop and Spark, processing real-time data streams, and developing intelligent systems capable of automated decision making. It is widely applied in finance for fraud detection and credit scoring, healthcare for disease prediction and personalized treatment, retail for customer segmentation and recommendation systems, manufacturing for predictive maintenance, transportation for route optimization, agriculture for crop yield prediction, and government for public policy analysis. The primary objective of Data Science is to transform raw data into useful knowledge that supports effective decision making. Another objective is to discover hidden patterns, relationships, and trends that are not immediately visible through traditional analysis. Data Science aims to build predictive models that forecast future events, classify data into meaningful categories, and optimize business processes. It