STT 505 - Advanced Statistical Programming
Course Description: Advanced programming techniques as applied to statistics, data science and analytics. Regularly covered topics include: data acquisition, cleaning, transformation and management; visualization techniques; advanced statistical techniques, including randomization and re-sampling based inference; exploratory data analysis; and other topics as determined by student and employer/industry level.
Credit Hours: 3
Corequisite Courses: None
Prerequisite Courses: STT 305 with minimum grade of D-
Additional Restrictions/ Requirements: Prerequisite courses or equivalent.
Course Repeatability Course may not be repeated
ADDITIONAL COURSE INFORMATION
Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None
Click here for the Spring 2023 Class Schedule.