Soubhik Barari



Teaching


Graduate Courses

Gov 2001: Quantitative Social Science I (Fall 2021)
Teaching Fellow, Harvard University.
An introduction to data science and social scientific research.
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Gov 2002: Quantitative Social Science II (Spring 2021)
Teaching Fellow, Harvard University.
Quantitative social science methods covering probability, frequentist inference, and linear models.
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Undergraduate Courses

Gov 1759: Behavioral Insights for Public Policy (Spring 2022)
Teaching Fellow, Harvard University.
An introduction to behavioral science with applications including public health, finance, elections, and social policy.

Gov 1347: Election Analytics (Fall 2020)
Teaching Fellow, Harvard University.
Using data science to analyze voting behavior and forecast presidential election outcomes in the United States.
syllabus   forecasts  

Online Courses

Deep Learning in Python (Fall 2018)
Online Course Instructor, SAGE Research Methods.
Fundamentals of machine learning using deep neural networks with practical Python applications in thumbnail and text analysis.
notebooks   videos  

Principles of Data Science (Fall 2018)
Online Course Instructor, SAGE Ocean.
A guide for social scientists to use advanced data science methods in their research.
videos  

Workshops

Introduction to Data Science with Python (Spring 2018)
Instructor, MIT Political Science Methods Workshop.
Fundamentals of the Python scientific computing stack with applications to political data science.
notebooks   slides  

R-Based High Performance Computing for Social Science (Fall 2017)
Instructor, MIT Political Science Methods Workshop.
Introduction to high performance computing in R with a focus on social science applications.
notebooks   slides  

Introduction to Python and Web Scraping (Spring 2017)
Instructor, MIT Political Science Methods Workshop.
Fundamentals of Python programming with a focus on web-scraping applications for political science (e.g. analyzing Congressional ideology).
notebooks