MAT 128 Foundations of Data Science

Statistical and computational tools for analyzing data. Acquiring data from multiple sources, techniques for efficiently traversing, storing, and manipulating data. Emphasis on statistical analysis and visualization of real data.

Credits:

3

Hours

4 (2, lecture; 2, laboratory)

Offered

Fall-Spring

Prerequisite

Score of 65 or higher on College Math section of Accuplacer exam or department permission.