STATS 202A
Statistics Programming
Statistics · 4 units · Graduate courses (200-299)
Topics include programming environments/languages such as UNIX, UNIX shell, Python, R, and Processing and data technologies/formats such as relational databases/SQL and XML, with emphasis on complex data types, including large collections of textual data, GPS traces, network logs, and various online sources.
S/U or letter grading.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 202A
- STATS 202BMatrix Algebra and Optimization
- STATS 202CMonte Carlo Methods for Optimization
- COM SCI M262CCurrent Topics in Causal Modeling, Inference, and Reasoning
- STATS 213Synthetic Data Generation
- STATS C263Generative Data Science
3 courses list this as a requisite. The whole downstream is here — 5 courses over 2 levels. Every course here opens its own tree.