Introduction to Data Science 2

Prerequisite: Computer Science 5A with a grade of C or better.

Enrollment Comments: Not open for credit to students who have completed Computer Science 8 or Computer Science 16 or Engineering 3 or ECE 3.

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.