A deep dive into specific tools and methods used in Data Science and Analytics. Topics will vary to match student needs and faculty expertise, and may include Statistical Regression, GIS systems, Linear and Nonlinear Optimization, Convolutional Neural Networks, Econometrics, and Business Analytics.
Prerequisites