Data Science Practicum

Catalog description

This course is a requirement for master’s students in Data Science and is only open to them. The course includes a semester-long capstone project as well as instruction on topics that prepare students for working as data scientists, such as requirements gathering, version control, bug tracking, software deployment, and other professional development. Capstone projects will be sourced from entities in Brown (departments, labs, researchers, etc.) as well as external entities (companies, nonprofits, etc.) and will engage most of the core components of data science: Data sculpting (data cleaning, formatting, feature selection, etc.), exploratory data analysis, data modeling, and data visualization. Students will also address any social and ethical issues raised by their project. Students will usually work in teams of 3 - 4.