Quantitative data require considerable work before they are ready to be analyzed: they are often messy, incomplete and potentially biased. This course is designed to help you thoughtfully collect, manage, clean and represent data so it can offer substantive information researchers can act upon. In our weekly sessions you will take a critical and reflective approach to these tasks and learn the technical skills needed to get your data into shape. Education and social science datasets will be our focus.
3-4 units · Letter or Credit/No Credit
Quantitative data require considerable work before they are ready to be analyzed: they are often messy, incomplete and potentially biased. This course is designed to help you thoughtfully collect, manage, clean and represent data so it can offer substantive information researchers can act upon. In our weekly sessions you will take a critical and reflective approach to these tasks and learn the technical skills needed to get your data into shape. Education and social science datasets will be our focus.
Offered in Autumn 2026 at Stanford University.