Data Science II

Catalog description

This is the second semester of a two-semester sequence in Data Science. Using real-world examples of wide interest and a popular programming language such as R or Python, we introduce methods for key facets of a data-driven investigation. These may include using statistical inference to infer properties of a population, using regression analysis to estimate the relationship among variables, using machine learning to make predictions, and creating interactive data products.