— Data Cleaning & Management in the Social Sciences

Prerequisites & course information

Course Description: Theoretical and technical skills to build a data cleaning and management pipeline. Programming in R, applied data analysis, workflow, and data documentation. Learning Activities: Lecture/Discussion 3 hour(s), Lecture/Lab 2 hour(s). Enrollment Restriction(s): Restricted to graduate students. Grade Mode: Letter. Learning Activities: Lecture/Discussion 3 hour(s), Lecture/Lab 2 hour(s). Enrollment Restriction(s): Restricted to graduate students. Grade Mode: Letter.