Soubhik Barari




Graduate Courses

Quantitative Social Science I <samp>(GOV 2001)</samp>

Quantitative Social Science I (GOV 2001)
Teaching Fellow, Harvard University

An introduction to data science and social scientific research.


Quantitative Social Science II <samp>(GOV 2002)</samp>

Quantitative Social Science II (GOV 2002)
Teaching Fellow, Harvard University

Quantitative social science methods covering probability, frequentist inference, and linear models.


Undergraduate Courses

Behavioral Insights for Public Policy <samp>(GOV 1759)</samp>

Behavioral Insights for Public Policy (GOV 1759)
Teaching Fellow, Harvard University

An introduction to behavioral science with applications including public health, finance, elections, and social policy.


Election Analytics <samp>(GOV 1347)</samp>

Election Analytics (GOV 1347)
Teaching Fellow, Harvard University

Using data science to analyze voting behavior and forecast presidential election outcomes in the United States.


Online Courses

Deep Learning in Python

Deep Learning in Python
Online Course Instructor, SAGE Research Methods

Fundamentals of machine learning using deep neural networks with practical Python applications in image and text analysis.


Principles of Data Science

Principles of Data Science
Online Course Instructor, SAGE Ocean

A guide for social scientists to use advanced data science methods in their research.


Workshops

Introduction to Data Science with Python

Introduction to Data Science with Python
Instructor, MIT Political Science Methods Workshop

Fundamentals of the Python scientific computing stack with applications to political data science.


R-Based High Performance Computing for Social Science

R-Based High Performance Computing for Social Science
Instructor, MIT Political Science Methods Workshop

Introduction to high performance computing in R with a focus on social science applications.


Introduction to Python and Web Scraping

Introduction to Python and Web Scraping
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).