Throughout this course, students engage in activities that develop their critical thinking skills. They are taught to evaluate different data sources, considering factors such as reliability, validity, and relevance. Students develop a solid foundation in assessing the appropriateness of data sources and understanding the broader context of their use and learn about data ethics and guidelines. This course provides comprehensive training in various data-analysis methods, such as descriptive statistics, correlation, regression, t-tests, and ANOVA. Students also receive training in software tools, such as Microsoft Excel and other relevant programs, such as Tableau. Achieves technology student learning outcomes a, b, c, d, and e.

View SPT 2320 in the Academic Catalog

Approved for Data Intensive Course Designation starting Fall 2024.