POL 630 - Statistical Analysis of Big Data

This course covers a variety of topics useful for the analysis of ‘Big Data’ including Bayesian Statistics, Machine Learning, Text Analysis, Neural Networks, Nonparametrics, and Ideal Point Estimation.

3 credits

Prerequisite(s): Admission to the Political Science PhD Program

Grading Letter graded (A, A-, B+, etc.)