This course introduces you to policy and data science surrounding income inequality and intergenerational mobility in the United States. You will begin with an in-depth background on sociology, demography, and economics along with an introduction to "big data'' and how it can be used in these fields of study to address complex policy problems. You will also explore essential functions in data science and the language of R before moving on to more complex statistics and data structures that will assist you in articulating big data. You will then investigate income inequality utilizing the Opportunity Atlas data project to examine geographic differences in intergenerational income mobility. Finally, you will further study this mobility across race, ethnicity, and gender, and you will engage in several opportunities to practice your new skill set in R, data, and policy analysis.
 

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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