In this course, you will explore the data surrounding racial and ethnic inequalities in the United States, particularly in the areas of educational opportunity outcomes, residential segregation, and housing.

You will examine visualizations of big data and practice analyzing this data in order to understand and convey its implications. You will not only investigate how these issues are defined but also how to measure different forms of inequality, articulate their cause, and utilize the data for informing policy. You will explore the Educational Opportunity Project to develop your data analysis skill set by examining educational inequalities. You will then use R to visualize housing data and residential segregation. Finally, you will continue improving how your data is organized and shared by quantifying the social and economic impact of neighborhood housing and migration potential.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Income Inequality and Intergenerational Mobility
 

How It Works

Course Length
3 weeks

Effort
6 to 8 hours of study per week

Format
100% online, instructor-led
  • Aspiring data scientists and analysts
  • Policy, business, and finance analysts
  • Social science researchers
  • Government program managers
  • Program evaluators
  • City and regional planners
  • Public sector professionals
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