DSC 101 - Data Science II

An introduction to the data science life cycle. Topics include data extraction, and decision making using machine learning methods including regression, classification, clustering, and anomaly detection. Python language and related tools will be used for solving data science problems.

Prerequisite(s): DSC 100

3 credit(s).

Last Term Offered: Spring 2022