
Python Tutorials
A series of tutorials introducing Python syntax data types, control structures, functions, and classes.

A series of tutorials introducing Python syntax data types, control structures, functions, and classes.

A series of tutorials introducing the Python Pandas module and key topics of data wrangling.

A graduate-level course introducing the major theoretical traditions in organization theory and their integration with network perspectives.

A graduate-level course introducing the key elements of social theories and the organization of academic writing including research proposals, prospectuses, dissertations and research articles.

A graduate-level course surveying neopatrimonialism, clientelism, and crony capitalism in Asian democracies.

A course surveying three computational methods used in social science: text analysis, machine learning, and social network analysis. Includes online tutorials.

A course surveying text preprocessing and major methods of text analysis including keyword analysis, topic modeling, sentiment analysis, word-embeddings document classfification, and semantic networks. Online tutorials are included.

A course introducing the the full stack of tools in the data science
toolkit, from data collection to analysis, but with special emphasis on data wrangling.

A graduate-level course surveying the four main subfields within the IDAS program: International Relations, Public Governance, Political Economy, Society and Culture.

A graduate-level course surveying four major social science methodologies: experiments, statistical analysis of observed data, historical comparative analysis, ethnography.

A graduate-level course exploring culture from the sociological perspectives of social structure, cultural production, cultural consumption, power and identity.