STATS C267 · STAT C267Introduction to Databases
Statistics · 4 units · Graduate courses (200-299)
Introduction to concepts, tools, and technologies used in working with databases. Prepares students for applied data science work. Topics include the basics of data engineering; relational and non-relational database paradigms; an introduction to SQL and NoSQL languages; cloud storage platforms; connections to R and Python. Concurrently scheduled with C167.
S/U or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Requisites: courses 20, 21, 102A.
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.
STATS C267
- STATS 20Introduction to Statistical Programming with R
- STATS 10Introduction to Statistical Reasoning
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
- ECON 41Probability and Statistics for Economists
- MATH 31BIntegration and Infinite Series
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
- PSYCH 10Introductory Psychology
- STATS 21Python and Other Technologies for Data Science
- STATS 102AIntroduction to Computational Statistics
3 direct requisites. Showing 23 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.