SOC SC 203Advanced Quantitative Analysis in Social Sciences
Social Science · 4 units · Graduate courses (200-299)
Advanced training in data analysis and statistics. Exploration of variation in data, development of models, and evaluation of these models through processing real-world data. Use of R and Jupyter notebooks to produce visualizations, conduct analyses, and write results. Models used extend skills to multivariate models (models with more than one explanatory variable), including multiple regression with both quantitative and categorical explanatory variables. Introduction also to models in which the explanatory variables interact with one another. Students carry out data analysis projects, produce a written data analysis report, and present their work.
Letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Preparation: knowledge of basic statistics.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "knowledge of basic statistics" (no course number found)
- · no course reference could be read from this requisite
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.
No course in the catalog lists this as a requisite.