STATS 102A

Introduction to Computational Statistics

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

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Introduction to computational statistics through numerical methods and computationally intensive methods for statistical problems. Topics include statistical graphics, root finding, simulation, randomization testing, and bootstrapping. Covers intermediate to advanced programming.

P/NP or letter grading.

Requisites

Official UCLA wording
Requisites: course 20, Mathematics 33A, and one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination.

BruinTree reads · Prerequisite

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Requires

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

STATS 102A

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 102A

STATS 131Python and Other Technologies for Data Analysis
STATS 133Introduction to Text Mining Using R
STATS 143Introduction to Research in Statistics
STATS C167Introduction to Databases
STATS C267Introduction to Databases

5 courses list this as a requisite. The whole downstream is here — 5 courses over 1 level. Every course here opens its own tree.