BIOSTAT 203A
Introduction to Data Management and Statistical Computing
Biostatistics · 4 units · Graduate courses (200-299)
Prior knowledge of programming not assumed. Coverage of mechanics of converting data from whatever form it may arrive and preparing it for processing by statistical software.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
BIOSTAT 203A
- BIOSTAT 203BIntroduction to Data Science in R
- BIOSTAT 203CIntroduction to Data Science in Python
- EPIDEM 205Methods for Analyzing Non-Randomized and Quasi-Experimental Studies
- BIOSTAT 218Observational Health Data Science and Informatics
- EPIDEM 206Systems Science Modeling and Simulation in Epidemiology
5 courses list this as a requisite. The whole downstream is here — 8 courses over 2 levels. Every course here opens its own tree.