CMSC 320
Introduction to Data Science
An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of several topics including statistical data analysis, basic data mining and machine learning algorithms, large-scale data management, cloud computing, and information visualization.
Prerequisites & course information
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250 . Restriction: Permission of CMNS-Computer Science department. Credit Only Granted for: CMSC320 , DATA320 or STAT426 .
Sources
- Course catalogue ↗2026-2027