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.

Summer 2025

60 reviews
Average rating: 3.90

Spring 2025

60 reviews
Average rating: 3.90

237 reviews
Average rating: 2.81

Fall 2024

60 reviews
Average rating: 3.90

237 reviews
Average rating: 2.81

Spring 2024

94 reviews
Average rating: 4.63

60 reviews
Average rating: 3.90

134 reviews
Average rating: 3.63

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

134 reviews
Average rating: 3.63

2 reviews
Average rating: 2.50

63 reviews
Average rating: 4.62

86 reviews
Average rating: 4.43

86 reviews
Average rating: 4.43

237 reviews
Average rating: 2.81

237 reviews
Average rating: 2.81

134 reviews
Average rating: 3.63

134 reviews
Average rating: 3.63

17 reviews
Average rating: 3.71

237 reviews
Average rating: 2.81

60 reviews
Average rating: 3.90

* "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.