Quantitative Boot Camp: Foundational Statistics for Global Affairs and Beyond

Statistics is used across disciplines in global affairs, from energy and international development to security studies, public policy, and beyond. This course will provide a practical, hands-on foundation in basic statistics by leveraging open data sources and free, open-source data analysis tools. The course will begin by covering basic descriptive statistics, leveraging Google Sheets to run tests that allow you to understand and explain essential qualities of a dataset such as its mean, median, mode, and standard deviation. Next, explore the core battery of inferential statistics that will help you to draw conclusions about a population based on data from a sample. Using R, the class will apply its knowledge by running tests including correlation, t-test, ANOVA, and Chi-Square. Walk away from this class with the ability not only to run these tests but also to explain when and for what purpose they are used.

More details

You'll Walk Away with

  • A foundation in descriptive and inferential statistics
  • Working knowledge of R, an open-source data analysis tool
  • The ability to read data from a more informed perspective

Ideal for

  • Students seeking a refresher for graduate school or quantitative research
  • Professionals working in program delivery or public policy roles
  • Those seeking a foundation in understanding data to be used in a global affairs context or beyond
NO open sections available for this course at the moment. Please check back next semester.