Subject: Data Science
Course Number: 214
Course Title: Programming for Health Data Science in R II
Min units: 2      Max units: 3
School: Graduate Division
Department: Health Data Science Program

Course Description: R programming course to enable work in any field including biostatistics, epidemiology, data science/machine learning. This course builds on students prerequisite core R language knowledge to cover skills in advanced data transformations, visualization, working with big (in-memory) data, report-writing, and core statistic testing.
Prerequisites: DATASCI 213 or equivalent.
Restrictions: This is a core course of the Health Data Science (HDS) program and part of the Training in Clinical Research Program and may have space limitations. Auditing is not permitted.
Activities: Direct - Lecture, Direct - Lab-Skills, Student - Lecture, Student - Lab-Skills

Instructor of Record: S. Gennatas
Additional Instructor(s): J. Kornak
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Fall
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No