An introduction to the discipline of data science. Topics include data management, statistical analyses of data, estimation of model parameters to collected data, machine learning algorithms, and visualizations. Students will implement or employ computational tools to analyze real-world problems, draw meaningful conclusions, and report their findings.
Grade Basis: AL
Credit hours: 3.0
Lecture hours: 3.0
Prerequisites:
Restrictions:
- Offered in Spring semesters of even years, as needed.
