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.
Spring 2026
126 reviews
Average rating: 2.92
42 reviews
Average rating: 4.40
0 reviews
Average rating: N/A
Fall 2025
126 reviews
Average rating: 2.92
42 reviews
Average rating: 4.40
Summer 2025
42 reviews
Average rating: 4.40
Spring 2025
126 reviews
Average rating: 2.92
42 reviews
Average rating: 4.40
Past Semesters
126 reviews
Average rating: 2.92
42 reviews
Average rating: 4.40
22 reviews
Average rating: 2.68
42 reviews
Average rating: 4.40
0 reviews
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15 reviews
Average rating: 3.73
126 reviews
Average rating: 2.92
42 reviews
Average rating: 4.40
22 reviews
Average rating: 2.68
22 reviews
Average rating: 2.68
126 reviews
Average rating: 2.92
1 review
Average rating: 5.00
126 reviews
Average rating: 2.92
1 review
Average rating: 5.00
6 reviews
Average rating: 4.67
15 reviews
Average rating: 3.73
22 reviews
Average rating: 2.68
0 reviews
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3 reviews
Average rating: 3.00
0 reviews
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1 review
Average rating: 1.00
Average GPA of 3.43 between 5,421 students*