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 will 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 will also learn to reason about ethical practices in data science. Not open to students who have already completed any of: SDS 192, 201, 220, 290 OR 291. Concurrent registration required in any of: SDS 192, 201, 220, 290 or 291. S/U only. 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