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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)

Offerings (2)

  • First semesterCaulfield · ON-CAMPUS
  • Second semesterCaulfield · ON-CAMPUS