STATS 140XP · STAT 140XPCollaboration in Data Science
Statistics · 4 units · Undergraduate upper division (100-199)
Students are prepared to solve real data-analysis problems for real community-based or campus-based clients. Students work in small groups with faculty member to explore and select a research data set, and ultimately frame research questions in statistical terms, create statistical models, analyze data, and report results. Weekly meetings in classroom setting to advance basic consulting skills, share experiences, exchange ideas, and frame compelling insights.
P/NP or letter grading.
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Requisites
Official UCLA wording
Enforced requisites: courses 100B or Mathematics 170S, 101B.
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 140XP
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- STATS 101BIntroduction to Design and Analysis of Experiment
- STATS 101AIntroduction to Data Analysis and Regression
- 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
- STATS 20Introduction to Statistical Programming with R
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
3 direct requisites. Showing 27 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.
STATS 140XP
- STATS 141XPPractice of Data Science
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.