Courses Detail Information

Data science integrates data, computation, and analytical thinking to transform the way we solve problems and make decisions. This course introduces the core components of data science, including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making.

Emphasizing real-world, data-driven problem solving, the course provides hands-on experience with Python for data transformation, querying, and analysis. Students will learn algorithms for machine learning methods such as regression, classification, and clustering; explore principles for creating effective data visualizations; and understand key statistical concepts related to measurement error, uncertainty, and prediction.