Statistical Modeling (Minor)

In a wold where data has quickly gone from a scarce resource to an abundant one, statistical tools are rapidly evolving. In the age of "big data", "data science", and "data analytics" individuals who are trained to build and interpret statistical models are in high demand. Through this minor, students experience the data tidying process, visual story-telling with data using the grammar of graphics, and will also build, analyze, and interpret both competing regression models and classification models (in supervised and unsupervised settings). Students gain exposure to the theory behind, and application of, advanced techniques for modeling uncertainty with data.