BIOSTAT 218Observational Health Data Science and Informatics
Biostatistics · 4 units · Graduate courses (200-299)
Elements of observational research in the health data sciences. Topics include disease cohort characterization, patient-level prediction and population-level estimation using administrative claims, and electronic health records.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisites: courses 201A, 203A, 203B, 203C.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 218
- BIOSTAT 201AIntroduction to Biostatistics
- BIOSTAT 203AIntroduction to Data Management and Statistical Computing
- BIOSTAT 203BIntroduction to Data Science in R
- BIOSTAT 203CIntroduction to Data Science in Python
- BIOSTAT 212AStatistical Learning A
4 direct requisites. The whole upstream is here — 8 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.