STATS 429
Statistical Consulting in Data Science
Statistics · 4 units · Graduate professional courses (400-499)
Recommended: course 413. Examination of the theory and practice of statistical consulting in data science. Addresses consulting problems in collaborative and interdisciplinary settings. Application of statistical methods, including hierarchical linear modeling, survey design and evaluation, reliability and validity assessment, factor-analytic methods, and sample size and power analysis to real-world consulting questions. Evaluation of ethical issues in statistics, data science, and artificial intelligence, including fairness, transparency, accountability, and sources of bias. Development of communication, collaboration, and problem-solving skills through a team-based consulting project.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisite: course 402. Preparation: working knowledge of R. Limited to Master of Applied Statistics and Data Science students.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataBruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "working knowledge of R. Limited to Master of Applied Statistics" (no course number found)
- · could not read "Data Science students" (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.
STATS 429
- STATS 402Applied Regression
1 direct requisite. The whole upstream is here — 1 course over 1 level. 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.