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Organization, Regulations, and Courses 2025-26


HSE 711 Foundations in Data Science

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

Instructor

Noelle Kosarek

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.