Foundations in Data Science

Graduate

Foundations of Data Science will provide students with a comprehensive introduction into data visualization, wrangling, and analytics in the R programming language. While students will be expected to enter the course with a foundational understanding of linear algebra and calculus, this course will serve as a review of sequences and series, derivatives, and integration. Students will be exposed to basic Machine Learning, LaTeX, version control with Git/ GitHub, and High Performance Computing (HPC). 0.75 Dartmouth units; (HP, P, LP, NC) * Core Requirement for the MS in Health Data Science Online Prerequisites: None Offered: Fall