BC3050: Big Data with Python | B. Mailloux

Earth and Environmental Sciences
Undergraduate and Graduate Lecture
MW 10:10-11:25AM

Big Data is changing how we interact with and understand the environment. Yet analyzing Big Data requires new tools and methods. Students will learn to use Python programming to analyze and visualize large environmental and earth's systems data sets in ways that Excel is not equipped to do. This will include both time series and spatial analyses with programming occurring interactively during class and assignments designed to strengthen methods and results. Students will learn to write code in Python, plot, map, sub-select, clean, organize, and perform statistical analyses on large global scale data sets, using the data in analysis, and take any data set no matter how large or complicated.

Link to Vergil
Note: only courses offered during the two previous semesters have active Vergil links.