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 2023

33 reviews
Average rating: 2.27

40 reviews
Average rating: 3.28

Fall 2022

6 reviews
Average rating: 5.00

33 reviews
Average rating: 2.27

Spring 2022

68 reviews
Average rating: 4.74

12 reviews
Average rating: 5.00

Fall 2021

28 reviews
Average rating: 3.57

80 reviews
Average rating: 3.28

Past Semesters

3 reviews
Average rating: 3.00

24 reviews
Average rating: 2.92

4 reviews
Average rating: 3.00

2 reviews
Average rating: 2.50

* "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.