STATS 20 · STAT 20Introduction to Statistical Programming with R
Statistics · 4 units · Undergraduate lower division (0-99)
Designed to prepare students for upper-division work in statistics.
Introduction to use of R, including data management, simple programming, and statistical graphics in R. P/NP or letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Enforced requisite: one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 20
- STATS 10Introduction to Statistical Reasoning
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
- ECON 41Probability and Statistics for Economists
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
- STATS 15Introduction to Data Science
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
- PSYCH 10Introductory Psychology
6 direct requisites. The whole upstream is here — 13 courses over 3 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 20
- STATS 21Python and Other Technologies for Data Science
- MATH 156Machine Learning
- STATS 147Data Technologies for Data Scientists
- STATS C163Generative Data Science
- STATS 101AIntroduction to Data Analysis and Regression
- STATS 101BIntroduction to Design and Analysis of Experiment
- STATS C116Applied Bayesian Social Statistics
- STATS C173Applied Geostatistics
- STATS 101CIntroduction to Statistical Models and Data Mining
- STATS C216Applied Bayesian Social Statistics
- MATH M148Experience of Data Science
- STATS C151Experimental Design
- STATS 153Hierarchical Linear Modeling
- STATS 170Introduction to Time-Series Analysis
- STATS 184Societal Impacts of Data
- MATH 42Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything
- MATH 118Mathematical Methods of Data Theory
- STATS M148Experience of Data Science
- STATS 102AIntroduction to Computational Statistics
- STATS 152Environmental Statistics
- POL SCI M170XCausality X
- STATS C160Causal Inference for Health Data
- STATS C167Introduction to Databases
- STATS M169Causality X
- STATS C267Introduction to Databases
- STATS 411Multivariate Statistical Analysis
- STATS 422Data Visualization
- STATS 423Longitudinal Data Analysis
- STATS 424Teamwork and Leadership in Data Science
14 courses list this as a requisite. Showing 49 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.