Course Number: 213
Course Title: Introduction to Programming for Health Data Science in R
School: Graduate Division
Department: Clinical Research Program
Course Description: Vast amounts of health-related data are generated daily and at an increasing rate. Our ability to extract insights from these invaluable resources depends in large part on the effective and efficient use of computational tools to preprocess, analyze and present data. This is an introductory programming course which aims to provide a solid understanding of and hands-on experience in the R language and enable further work in biostatistics, epidemiology, and machine learning/health data science.
Prerequisites: Basic computer skills.
Restrictions: This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.
Activities: Direct - Lecture, Student - Lecture
Instructor of Record: E. Gennatas
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No
Quarter(s) Offered: Summer
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
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