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 2024

50 reviews
Average rating: 3.80

210 reviews
Average rating: 2.82

Spring 2024

87 reviews
Average rating: 4.70

50 reviews
Average rating: 3.80

130 reviews
Average rating: 3.65

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

130 reviews
Average rating: 3.65

2 reviews
Average rating: 2.50

63 reviews
Average rating: 4.62

86 reviews
Average rating: 4.43

86 reviews
Average rating: 4.43

210 reviews
Average rating: 2.82

210 reviews
Average rating: 2.82

130 reviews
Average rating: 3.65

130 reviews
Average rating: 3.65

17 reviews
Average rating: 3.71

210 reviews
Average rating: 2.82

50 reviews
Average rating: 3.80

* "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.