MonMap
A course mapper by Monash Association of Coding (MAC)
Programming principles for health data analytics using Python
EPM5033
Synopsis
You will gain the skills in the Python programming language regularly used in health data analytics. You will be equipped to implement several commonly used Python libraries specifically designed for data manipulation, exploration, visualisation, and machine learning.
You will develop the knowledge and skills of programming in Python, including foundational skills such as programming syntax, functions, data and file management and an introduction to linear and binary regression.
The common Python library packages such as Numpy, Matplotlib and Pandas will be introduced to enable you to describe, visualise, analyse and interpret health data.
Using these industry standard packages, you will investigate contemporary case studies and engage in weekly programming exercises to build your applied skills throughout the unit.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Medicine, Nursing and Health Sciences
- Faculty
- Department of Epidemiology and Preventive Medicine
- Handbook year
- 2026
Prerequisites
No prereqs in the handbook graph.
What it unlocks (1)
- Statistical data modellingFIT5197
Offerings (2)
- First semesterCaulfield · ON-CAMPUS
- Second semesterCaulfield · ON-CAMPUS