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Computer Science - CMPSC

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.

Prerequisites: Computer Science 5A or Computer Science 8 or ECE 3 with a grade of C or better.


CMPSC 5B
13 / 100 Enrolled
Introduction to Data Science 2
Phill Conrad 4.5
M W
09:30 AM - 10:45 AM
74.0% A