DIDA 325Data & Society (Python)

Catalog

Students may only take one version of this course (either in Python or R), and may not sign up for both or retake in the other language. This course offers experience in discovering, manipulating, analyzing, and visualizing data drawn from various real-world professional, social, and cultural contexts. Students will gain enhanced data literacy, an immersion into critical data studies, an understanding of the processes behind data-driven decision-making, and the ability to interpret claims based on data and its visualization. They will also explore the problems inherent in data-driven approaches, such as missing data, algorithmic bias, and privacy and surveillance concerns, with a special focus on those communities that are often marginalized or disadvantaged by data-driven decisions.