STATS 152 · STAT 152Environmental Statistics
Statistics · 4 units · Undergraduate upper division (100-199)
Focus on practical understanding and application of statistical tools for environmental datasets. Topics include brief overview of concepts in probability, distributions, and hypothesis testing; developing and assessing regression models; multidimensional data exploration; time series analysis; and spatial modeling. Relevant examples in the scientific literature are drawn upon, and analyses of real-world datasets are performed. Small groups complete and present a project analyzing a relevant dataset of choice.
P/NP or letter grading.
When it runs
- Spring 2026
- Spring 2027
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, 12, 13, or 15, and 20 or 21.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 152
- STATS 10Introduction to Statistical Reasoning
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
- STATS 15Introduction to Data Science
- STATS 20Introduction to Statistical Programming with R
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studiesanother path to it
- ECON 41Probability and Statistics for Economists
- MATH 31BIntegration and Infinite Series
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
- PSYCH 10Introductory Psychology
- STATS 21Python and Other Technologies for Data Science
6 direct requisites. Showing 17 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.