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

69 reviews
Average rating: 4.01

241 reviews
Average rating: 2.81

Summer 2025

69 reviews
Average rating: 4.01

Spring 2025

69 reviews
Average rating: 4.01

241 reviews
Average rating: 2.81

Fall 2024

69 reviews
Average rating: 4.01

241 reviews
Average rating: 2.81

Spring 2024

99 reviews
Average rating: 4.63

69 reviews
Average rating: 4.01

136 reviews
Average rating: 3.62

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

136 reviews
Average rating: 3.62

2 reviews
Average rating: 2.50

63 reviews
Average rating: 4.62

87 reviews
Average rating: 4.44

87 reviews
Average rating: 4.44

241 reviews
Average rating: 2.81

241 reviews
Average rating: 2.81

136 reviews
Average rating: 3.62

136 reviews
Average rating: 3.62

17 reviews
Average rating: 3.71

241 reviews
Average rating: 2.81

69 reviews
Average rating: 4.01

* "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.