This interdisciplinary course equips students with essential tools and methods for data analysis while introducing critical frameworks to design projects with a focus on social impact. By combining technical skills with ethical considerations, the course challenges the "market-first" mentality prevalent in data science and fosters an understanding of how data-driven solutions can advance social justice. Through a combination of hands-on workshops and guided discussions, students will explore topics such as bias in datasets, the ethics of machine learning, data surveillance, and the social implications of data gathering and usage.

Repeat Rules

Course is not repeatable for credit.