Description
Data analysis plays a vital role in uncovering insights that drive informed decision-making. Students explore techniques for identifying patterns, relationships, and trends in data using exploratory analysis, statistical methods, and predictive modeling based on regression and classification. They work with real-world datasets to build supervised and unsupervised learning models, evaluate model performance, and communicate findings through data-driven recommendations that support business objectives.