Course Details

MATH 315: Topics Probability/Statistics: Data Science

This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include data scraping and manipulation, unstructured data, data visualization using packages such as ggplots, cross-validation, classification, and network analysis. Prerequisite: Mathematics 275
6 credits; FSR, QRE; Offered Fall 2016; K. St. Clair