Statistical and Data Sciences 100 - Laboratory: Reproducible Scientific Computing with Data

The practice of data science rests upon computing environments that foster responsible uses of data and reproducible scientific inquiries. This course develops students’ ability to engage in data science work using modern workflows, open-source tools and ethical practices. Students learn how to author a scientific report written in a lightweight markup language (e.g., markdown) that includes code (e.g., R), data, graphics, text and other media. Students also learn to reason about ethical practices in data science. S/U only. Concurrent registration required in any of: SDS 192, SDS 201, SDS 220, SDS 290 or SDS 291. Restrictions: Not open to students who have already completed any of: SDS 192, SDS 201, SDS 220, SDS 290 or SDS 291. Enrollment limited to 30. Students not registered for a corequisite course will be dropped without notification.

[CE] Not any: SDS 192, 201, 220, 290 or 291