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. Students who have completed SDS 100 in a previous semester need not repeat it. Prerequisite: Concurrent registration in any SDS 192, SDS 210, SDS 290 or SDS 291. Enrollment limited to 30.