| 1 | To teach students the basic syntax and data structures of the Python and R programming languages. |
| 2 | To demonstrate how to use Python’s NumPy and Pandas libraries for health data analysis and manipulation. |
| 3 | To teach the use of core R packages (e.g., ggplot2) for statistical analysis and data visualization. |
| 4 | To develop skills in importing and preprocessing real-world health datasets into programming environments. |
| 5 | To equip students with the ability to perform basic statistical analyses and build machine learning models using Python and R. |
| 6 | To illustrate the potential and application areas of open source software in the field of health informatics. |