Objectives
After completing the course, the student is able to:
- understand the logic of quantitative social research and the link between theory, concepts, and measurement
- clean, manage, and transform survey and macro-social datasets in Python
- produce descriptive statistics and visualizations suitable for academic reporting
- conduct and interpret hypothesis testing (t-test, chi-square, ANOVA)
- critically evaluate statistical assumptions, limitations, and sources of bias
- reproduce analyses using documented and transparent Python workflows
- Teacher
Hamed Ahmadinia