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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 X31 SDS 431  Probability and Statistical Inference  4 Hours

3 Lecture Hours  2 Lab Hours  
Introduction to probability and statistical inference. Examine events and random experiments; basic rules of probability; joint, conditional, and marginal probability and independence; discrete and continuous random variables; random sampling and estimation; large-sample theory results and central limit theorem-based inferential summaries; and maximum likelihood estimation. Statistics and Data Sciences 321 and 431 may not both be counted. Three lecture hours and two laboratory hours a week for one semester.
Pre/Corequisites: Statistics and Data Sciences 315 with a grade of at least C-; and credit with a grade of at least C- or registration for Mathematics 408D, 408L, or 408S.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division