HCIP 6102: Healthcare Data Analysis
University of North Carolina, Charlotte
Develops skills in the management, analysis, and reporting of health data, including introductory applied statistical analysis. Students use statistical software (such as SAS, R, or Python) to run analyses and generate quantitative evidence to inform public health, health policy, healthcare operational,�and clinical decision-making that improves quality, adjusts for risk, quantifies access, measures population health, and evaluates policies and programs. Focuses on interpreting and visualizing statistical output to generate reports and develop clinical, financial, and operational recommendations for communication to stakeholders. Touches upon SQL, qualitative methods, and application of legal and ethical precepts to healthcare data analysis.
Average GPA: 3.70
Grade distribution records: 504 students across 19 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 359 | 71.2% |
| B | 117 | 23.2% |
| C | 16 | 3.2% |
| W | 10 | 2.0% |
Based on 504 student grade records across 19 terms and 7 professors.
Instructors
- James Laditka 143 students, Average GPA 3.83
- Laura Gunn 103 students, Average GPA 3.33
- Timothy Lowe 94 students, Average GPA 3.91
- Franck Diaz Garelli 56 students, Average GPA 3.87
- Samantha Cacace 56 students, Average GPA 3.41
- Susan Odum 36 students, Average GPA 3.69
- Joshua Noone 16 students, Average GPA 3.93