Intended for decision leaders, this course introduces statistics, big data, and machine learning and asks how they may impact politics and policy, now and in the future. The course develops the ability to interpret reports and make informed decisions based on data. Topics includes experimental design, sampling, inference, multiple regression, and program evaluation. Using case studies, the course asks what insight data can provide -- and what it cannot -- and compares the perspectives of data and ethics.
The mathematical background required is kept to a minimum, though students should be able to handle data with a calculator and Excel. May not be taken in addition to API-201.