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. ¾Ã¾ÃÈÈ 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. ¾Ã¾ÃÈÈ 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.

Approved for Data Intensive Course Designation starting Fall 2024.