STATS 422 · STAT 422Data Visualization
Statistics · 4 units · Graduate professional courses (400-499)
Limited to Master of Applied Statistics students. Study of fundamental methods in data visualization, focusing especially on methods using Tableau, R/shiny, Python/Dash and HTML, and JavaScript for customized R and Python dashboards. Reasonable level of competence in both statistics and computing is required.
Letter grading.
When it runs
- Fall 2025
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisites: courses 10, 20, 101A, or equivalent level of discipline.
BruinTree reads · Prerequisite
needs reviewconfidence 0.25 · from text- equivalent level of discipline
- · could not read "equivalent level of discipline" (no course number found)
- · mixed comma-level AND/OR in "courses 10, 20, 101A, or equivalent level of discipline" — grouping is a best reading
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 422
- STATS 10Introduction to Statistical Reasoning
- STATS 20Introduction to Statistical Programming with R
- STATS 101AIntroduction to Data Analysis and Regression
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studiesanother path to it
- STATS 15Introduction to Data Science
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
- PSYCH 10Introductory Psychology
3 direct requisites. Showing 19 courses over 3 levels; the branches marked with a count carry on past it. 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.