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Statistics and Data Science Minor

https://catalog.utexas.edu/undergraduate/programs/statistics-data-science-minor/

Undergraduate

The minor in Statistics and Data Science will give students experience manipulating, summarizing and visualizing data and applying statistical and machine learning methods. Students are exposed to the principles of and tools for conducting reproducible data analysis and are taught to think critically about relevant ethical issues (e.g., data privacy, misrepresentation of findings). 

SDS X34 SDS 334  Intermediate Statistical Methods  3 Hours

3 Lecture Hours  0 Lab Hours  
Introduction to applied regression analysis. Explore estimation and inference in multiple regression models; logistic regression; regression for count data; time-to-event models; and case studies in regression modeling in published work, emphasizing both the use and limitations of regression modeling in advancing scientific knowledge. The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Statistics and Data Sciences 431 with a grade of at least C-; Mathematics 340L or 341 or Statistics and Data Sciences 329C with a grade of at least C-; and Computer Science 303E or 312 with a grade of at least C-.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division