ENV 434 - Advanced Data Analysis

(W,S)
Lecture Hours: 3
Lab Hours: 3
Credit Hours: 4

Advanced concepts and methods of data analysis from field projects, data archives and other sources. Statistical hypothesis testing; analysis of variance; multi-variate, regression, spatial- and time-series; principle component analysis; data visualization; and infographics.

Prerequisites: MATH 252 and MATH 361