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Studying Social Inequality with Data Science

Cornell INFO 3370 / 5371 (Spring ‘23)

Together, we will generate new knowledge about social inequality using the tools of data science

Learning goals

As a result of participating in this course, students will be able to

  • visualize economic inequality with graphs that summarize survey data
  • connect theories about inequality to quantitative empirical evidence
  • evaluate the effects of hypothetical interventions to reduce inequality
  • conduct data analysis using the R programming language

Organization of this site

  • Topics tells you what we plan to cover in this course. The pages in this section will contain course materials
  • Weekly schedule tells you when you can come see us at office hours
  • Who we are tells you a bit about the teaching team


This site is a fork of Just the Class, a template for course websites by Kevin Lin. That template uses Just the Docs, a documentation theme for Jekyll.