DATA 322 - Intermediate Data Science

A second course in the fast-growing field of data science, including Data Pre-processing, Data Visualization, Feature Engineering, and Predictive Modeling. It will continue to investigate the advantages and boundaries of traditional statistical inference, application of statistical reasoning to model selection, optimization, and predictions. Security issues in analytics and related areas (big data, networks, etc.) will be discussed throughout.

Credit(s): 3
Prerequisite(s): DATA 222 - Data Science or STAT 220 - Fundamentals of Data Science AND prior or concurrent enrollment in either CS 170 - Introduction to Computer Science I or CS 180 - Foundations of Computer Science I .
Disciplinary Perspective(s):
None
Interconnecting Perspective(s):
None
University Graduation Requirement(s):
None