STATS 101A

Introduction to Data Analysis and Regression

Statistics · 4 units · Undergraduate upper division (100-199)

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Recommended: course 102A. Applied regression analysis, with emphasis on general linear model (e.g., multiple regression) and generalized linear model (e.g., logistic regression). Special attention to modern extensions of regression, including regression diagnostics, graphical procedures, and bootstrapping for statistical influence.

P/NP or letter grading.

Requisites

Official UCLA wording
Requisites: one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination, and course 20.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data

all of

STATS 20
one of

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

STATS 101A

STATS 10Introduction to Statistical Reasoning
STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
ECON 41Probability and Statistics for Economists
- MATH 31ADifferential and Integral Calculus
  - MATH 1Precalculus

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

STATS 101A

STATS 101BIntroduction to Design and Analysis of Experiment
- STATS C116Applied Bayesian Social Statistics
- STATS 140XPCollaboration in Data Science
  - STATS 141XPPractice of Data Science
- STATS 143Introduction to Research in Statistics