DATA602

Principles of Data Science

Restriction: Must be in one of the following programs: (Data Science Post-Baccalaureate Certificate, Master of Professional Studies in Data Science and Analytics, or Master of Professional Studies in Machine Learning). Cross-listed with: MSML602. Credit only granted for: DATA602, MSML602 or CMSC641. Formerly: CMSC641. 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.

Fall 2024

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35 reviews
Average rating: 4.09

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195 reviews
Average rating: 2.83

114 reviews
Average rating: 3.55

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Fall 2023

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17 reviews
Average rating: 2.59

Past Semesters

4 reviews
Average rating: 3.00

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17 reviews
Average rating: 2.59

* "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.