STATS 131 · STAT 131Python and Other Technologies for Data Analysis
Statistics · 4 units · Undergraduate upper division (100-199)
Limited to junior/senior statistics majors and minors. Use of Python and other technologies for data analysis and data science. Focus on programming with Python and selection of its libraries—NumPy, pandas, Matplotlib, and scikit-learn—for purpose of data processing, data cleaning, data analysis, and machine learning. Other technologies covered include Jupyter notebook, Structured Query Language (SQL), and git.
P/NP 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
Requisite: course 102A.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 131
- STATS 102AIntroduction to Computational Statistics
- 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
- STATS 15Introduction to Data Science
- MATH 33ALinear Algebra and Applications
- MATH 32ACalculus of Several Variables
- STATS 20Introduction to Statistical Programming with R
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studiesanother path to it
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
- PSYCH 10Introductory Psychology
1 direct requisite. Showing 20 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.