SDS X54 SDS 354 Advanced Statistical Methods 3 Hours
3 Lecture Hours 0 Lab Hours
Explore advanced methods in statistics and data science. Examine modeling data with multilevel (hierarchical) structure and causal inference, including design and analysis strategies. Discuss smoothing methods; spatial and time series models; additive models; and models for network data. The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Statistics and Data Sciences 334 with a grade of at least C-.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division