Data Science I

Catalog description

This is the first 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 include obtaining data from a variety of sources, wrangling the data to get a manageable data set, exploratory data analysis to generate hypotheses and intuition about the data, and communication of results through interpretable summaries that are both transparent and reproducible.