| 1 | To help students understand the fundamental principles and importance of effectively visualizing health data. |
| 2 | To develop the ability to select and apply appropriate visualization techniques for different types of data. |
| 3 | To teach the use of popular data visualization tools (such as Tableau and Power BI) and programming languages (such as Python and R). |
| 4 | To enhance students' ability to design interactive dashboards and reports using health data. |
| 5 | To teach how to transform complex health data into clear and informative visual representations. |
| 6 | To raise awareness about ethical practices in data visualization and avoiding misleading presentations. |