Introduction to Data Science

Catalog description

Introduction to data science for students with little to no experience in the subject. Topics include foundational programming concepts, problem-solving strategies and code design, and data science concepts such as table operations, exploratory data analysis, and basic probability. Students explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. The course focus is on transforming and analyzing data; machine learning methods, including regression, classification, and clustering; principles behind data visualizations; concepts of measurement error and prediction; and techniques for scalable data processing. Transfer: CSU