Advanced Data Analytics

3.0 credits · Undergraduate

This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, clustering, and forecasting, with an overview of machine learning algorithms and statistical inference. Lectures and problem sets will make extensive use of python programming.