DSC 201 Applied Data Science

This course covers web scraping, recommender systems, dimensionality reduction techniques, and machine learning models for regression, classification, and clustering. Emphasis is placed on hands-on projects and case studies to apply these concepts in real-world scenarios while elevating ethics, visuals, and data handling from the introductory course.

Credits

4

Prerequisite

CSC 102 with a C or higher, DSC 101 with a C or higher, MAT 272 with a C or higher

Offered

fall semester