Python Tutorials
A tutorial series introducing Python data types, control structures, functions, and classes.
A tutorial series introducing Python data types, control structures, functions, and classes.
A tutorial series introducing pandas and key data-wrangling workflows in Anaconda and Google Colab.
A course surveying text analysis, machine learning, and social network analysis for social-science research.
A course covering the data-science workflow from collection to analysis, with hands-on emphasis on data engineering, cleaning, curation, and wrangling.
A graduate-level course on the elements of social theory and the organization of proposals, prospectuses, dissertations, and research articles.
A graduate-level introduction to organization theory and its integration with network perspectives.
A graduate-level course on patrimonialism, clientelism, and crony capitalism in Asian democracies.
A graduate-level survey of experiments, statistical analysis, historical-comparative analysis, and ethnography.
A mini conference and hands-on workshop on generative AI and large language models in social-science research, including structured extraction and validation workflows.