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Course Description

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.

Faculty Author

Maria Fitzpatrick, Matt Hall, and Chris Hess

Benefits to the Learner

  • Explore what makes data “big” and perform basic tasks using the coding language R
  • Analyze patterns in income inequality and work with matrices and data frames to summarize data trends
  • Examine and measure intergenerational inequality by computing descriptive statistics in R
  • Quantify racial inequality and socioeconomic mobility based on race, sex, and college education level

Target Audience

  • 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

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
3 week
Dates
May 01, 2024 to May 21, 2024
Total Number of Hours
24.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURES INFORMATION


Due to the experiential nature of this program, you will need to have access to a New York Times subscription to be able to participate in some activities.

Type
3 week
Dates
Aug 21, 2024 to Sep 10, 2024
Total Number of Hours
24.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURES INFORMATION


Due to the experiential nature of this program, you will need to have access to a New York Times subscription to be able to participate in some activities.

Type
3 week
Dates
Dec 11, 2024 to Dec 31, 2024
Total Number of Hours
24.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURES INFORMATION


Due to the experiential nature of this program, you will need to have access to a New York Times subscription to be able to participate in some activities.

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