ECNS 460 — Advanced Data Analytics in Economics: 3 Credits (3 Lec)

(F) Course builds practical skills, intuition, and best practices for cleaning, exploring, visualizing, and presenting data, programming with R, and solving problems in prediction and causal inference. Develops familiarity with available tools for data acquisition, spatial analysis, and machine learning

Prerequisites: ECNS 301, ECNS 403R, EIND 457