Teaching materials and resources for computational and quantitative social science methods.
Learning and teaching materials for text analysis course run under the Practical Computational Methods for Social Scientists training series.
This collection features projects that demonstrate my ability to analyze, visualize, and draw insights from publicly available datasets. Topics range from socioeconomic research to policy impact analysis, using tools like Python, pandas, seaborn, and matplotlib.
Tool for Bulk collection of the BSky Firehose into Postgres
A tool for exploring the 2022 reddit.com/r/place dataset
Instant Polychoric and Polyserial Correlation
A Python and SQL implementation to find patterns in 7000 publication metadata from SCOPUS
Dataset and R script used to produce the research paper titled "Inciting Violence: The Impact of Internet Propaganda on Terrorist Outcomes" located here: https://dx.doi.org/10.2139/ssrn.4035908
The primary objective of the project is to assess the effectiveness of opioid drug regulations in three U.S. states.
An animated scatterplot on Gapminder data. (bootcamp project)
Statistical Analysis with several datasets in a Mock National Intelligence Estimate
This is a collection of Python scripts designed to process public data from polls conducted by both public and private institutions, helping you better understand societies worldwide.
Quantitative Methods in the Social Sciences (Spring 2025)
Class notes and assignments for INF 397 with Prof Varun Rai
MIT Data Analysis for Social Science Notes
Data Science Project - How do economic fluctuations influence job satisfaction among employees in Spain?
Add a description, image, and links to the social-sciences-data topic page so that developers can more easily learn about it.
To associate your repository with the social-sciences-data topic, visit your repo's landing page and select "manage topics."