DS 410 - Advanced Methods of Data Science

This course will train students to use statistical models to analyze data and create data summaries, predictive instruments, and tools for scientific inference, including causal inference. The class will build on the application and theory of generalized linear modeling, introducing students to its general functional forms. The course will cover univariate and multivariate modeling with an emphasis on forecasting. Students will learn to select the appropriate modes, use statistical software (such as R) to evaluate assumptions and implement modeling, evaluate the results of the models, and display and communicate the results to a broad audience. The class will also introduce students to machine learning, serial algorithms, parallel algorithms, structural learning, and time series analysis

Credits: 3

Class Level Senior Undergraduate
Program Undergraduate