Quantitative, Causal and Survey Methods Track | Build a solid foundation in statistical analysis with R. Learn Ordinary Least Squares regression and non-linear techniques, and their application in policy analysis and other contexts.
Quantitative, Causal and Survey Methods Track | Learn to draw credible causal conclusions from observational data using design-based approaches. This interactive course combines live teaching with practical, research-focused exercises.
Quantitative, Causal and Survey Methods Track | Gain a practical grounding in panel data analysis, using key concepts and methods to visualise and interpret longitudinal data for robust social science research.
Quantitative, Causal and Survey Methods Track | With this applied introduction to survey experiments, you’ll develop a Pre-Analysis Plan ready for registration and fielding, and gain hands-on experience in design, measurement, and analysis.
