CMSC320

Introduction to Data Science

Prerequisite: Minimum grade of C- in CMSC216 and CMSC250. Restriction: Permission of CMNS-Computer Science department. Credit only granted for: STAT426 or CMSC320. 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.

Fall 2025

75 reviews
Average rating: 3.99

253 reviews
Average rating: 2.80

Summer 2025

75 reviews
Average rating: 3.99

Spring 2025

75 reviews
Average rating: 3.99

253 reviews
Average rating: 2.80

Past Semesters

3 reviews
Average rating: 3.00

17 reviews
Average rating: 3.71

31 reviews
Average rating: 2.90

4 reviews
Average rating: 3.00

142 reviews
Average rating: 3.58

2 reviews
Average rating: 2.50

63 reviews
Average rating: 4.62

89 reviews
Average rating: 4.45

89 reviews
Average rating: 4.45

253 reviews
Average rating: 2.80

253 reviews
Average rating: 2.80

142 reviews
Average rating: 3.58

142 reviews
Average rating: 3.58

17 reviews
Average rating: 3.71

253 reviews
Average rating: 2.80

75 reviews
Average rating: 3.99

100 reviews
Average rating: 4.63

75 reviews
Average rating: 3.99

142 reviews
Average rating: 3.58

75 reviews
Average rating: 3.99

253 reviews
Average rating: 2.80

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.