About this Program
- College: Liberal Arts and Sciences
- Credits: 12 | Completed with minimum grades of B-
- Student Learning Outcomes (SLOs)
Certificates must contain at least nine credits of coursework that are unique to that program out of all other certificates and minors.
Department Information
The mission of the Department of Statistics is to provide its students with a fundamental understanding of statistical reasoning and methodology, to train them to apply this knowledge to the collection and analysis of data, and to prepare them for careers in a highly technological society in which science and decision-making are increasingly driven by a rapid expansion in the quantity and availability of data.
Website
CONTACT
Email | 352.392.1941 (tel) | 352.392.5175 (fax)
P.O. Box 118545
102 GRIFFIN-FLOYD HALL
GAINESVILLE FL 32611-8545
Map
Curriculum
The Data Analytics certificate provides students the tools to both organize and analyze data to answer important discipline-specific research questions and to understand both ethical issues and biases associated with any particular dataset. The fourth required course applies what was learned in the first three courses to a real-world application.
Required Courses
Code | Title | Credits |
---|---|---|
STA 3100 | Programming With Data in R | 3 |
PHI 3681 | Ethics, Data, and Technology | 3 |
or WST 3610 | Gender, Race and Science | |
STA 3180 | Statistical Modelling | 3 |
Select one: | 3 | |
Approved course 1 | ||
Econometrics 2 | ||
Laboratory in Sensory Processes | ||
Methods in Psycholinguistics | ||
Data Visualization in the Health Sciences | ||
Special Topics (Special topics political science) | ||
Laboratory in Cognitive Neuroscience | ||
Data Feminisms | ||
Total Credits | 12 |
- 1
Approved by the certificate coordinator and involves applying the methods learned in STA 3180 to the student’s area of study. The course can be an upper-division department-specific supervised research course. Such a course would be supervised by a faculty member in the department of the student's major and will involve conducting a data analysis project using the methods learned in STA 3180 and writing a report. The content of this course, given its breadth across students, will need to be pre-approved by the certificate coordinator and will require a short (up to one page) summary of how methods and topics covered in the first three courses will be applied to a real-world dataset.