DA 301Diagnostic Analytics
This course introduces students to the core areas of diagnostic analytics. The diagnostic analysis takes descriptive data a step further by examining the relationships between variables through root cause analysis. Students will learn current tools and techniques, including external environmental factors, that allow analysts to explain why the patterns are observed in data and discover relationships between two or more attributes of the data. Students will have the opportunity to review case studies and work on real-world projects throughout the course.
Prerequisites
From the catalog: “DA 101 Enforced Concurrent at Enrollment: DA 201W”
Where it sits in degree plans
Suggested plans most often put it in Year 2 · Fall (1 program).
Required in (1)
- Functional Data Analytics, B.S.