CS-333 DATA ANALYTICS
Methodologies, tools, and techniques for the scientific manipulation of data sets. Data collection, warehousing, mining, and visualization. Descriptive, predictive, and prescriptive data analysis. Data applications in finance, economics, and STEM fields. Prerequisites: MAT-152 Elementary Probability and Statistics or any other statistics course approved by the department and CS-211 Computer Programming I or CS-231 Computer Science I.