CMSC641

Principles of Data Science

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 what data science means and systems and tools commonly used for data science, and illustrates the principles of data science through several case studies.

Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 2.99 between 34 students*

CMSC641 Grade Distribution+-05101520253035404550556065% of studentsABCDFWother
A-: 5.88%
A: 47.06%
A+: 8.82%
B: 8.82%
B+: 2.94%
W: 20.59%
other: 5.88%
* "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.