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BIOSTAT 203AIntroduction to Data Management and Statistical Computing

Biostatistics · 4 units · Graduate courses (200-299)

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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

  • Fall 2025
  • Fall 2026

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

Requisites

UCLA lists no requisites for this course.

Report a problem

About BIOSTAT 203A. We read UCLA’s requisite wording by machine, and it gets things wrong.

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Sends this page’s address and your browser version. Nothing else.

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 Pythonanother path to it
    • BIOSTAT 218Observational Health Data Science and Informaticsanother path to it
  • BIOSTAT 203CIntroduction to Data Science in Python
    • BIOSTAT 218Observational Health Data Science and Informaticsanother path to it
  • 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.