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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