STATS 147 · STAT 147Data Technologies for Data Scientists
Statistics · 2 units · Undergraduate upper division (100-199)
Limited to seniors. Introduction to variety of tools and technologies used in data science. Prepares students for applied project work. Topics include use of collaborative repository hosting services allowing access control; secure cloud services platforms that cover computing power and database storage; open source artificial intelligence libraries. Recommended to be taken prior to or concurrently with course M148.
Letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisites: courses 100B or Mathematics 170S, 101A, 101C or Mathematics 156.
BruinTree reads · Prerequisite
needs reviewconfidence 0.80 · from text- · "MATH 101A" is not in this catalog version
- · "MATH 101C" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 147
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- MATH 156Machine Learning
- STATS 21Python and Other Technologies for Data Science
- COM SCI 31Introduction to Computer Science I
- COMPTNG 10AIntroduction to Programming
- MATH 115ALinear Algebra
- COMPTNG 16APython with Applications I
- MATH 164Optimization
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
3 direct requisites. Showing 33 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.