DATA607

Communication in Data Science and Analytics

Prerequisite: DATA602. Expected learning outcomes include that, in the context of data science and analytics, students should be able to: summarize, report, organize prose, statistics, graphics, and presentations; explain uncertainty, sensitivity/robustness, limitations; describe model generation and representation; discuss interpretations and implications; communicate effectively to diverse audiences within a business organization, and possibly other outcomes.

Fall 2025

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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 3.69 between 159 students*

DATA607 Grade Distribution+-051015202530354045505560657075808590% of studentsABCDFWother
A-: 18.87%
A: 52.83%
A+: 15.09%
B-: 0.63%
B+: 6.92%
C: 0.63%
C+: 0.63%
D-: 0.63%
F: 0.63%
W: 3.14%
* "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.