DATA- Data Science

DATA 310 Data Visualization (3)

Prerequisite: COSC-110. Studies principles of effective visualization based on insights from many disciplines, including cartography, psychology, cognitive science, and graphic design. Students will learn to analyze visualizations based on these principles, and apply the principles to create effective visualizations of their own. (Previously taught a LAS-410.)


DATA 440 Applied Machine Learning (3)

Prerequisites: MATH-131, COSC-110. The course focuses on the regression, classification, and clustering tasks with the scikit-learn machine learning library in Python. The basic data structures used in machine learning such as numpy arrays and pandas data frames will be introduced in the beginning of the course. Students will spend a significant amount of time out of class designing, writing, collaborating on, and debugging Python programs. (Previously taught as COSC-390.)