EPM5033 - Programming principles for health data analytics using Python

Overview

The Python programming language is an important programming language in health data analytics.
Python is a widely-used open-source data science software which can handle large datasets.
There are several Python libraries specifically designed for data manipulation, exploration, visualization, 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.

Offerings

S1-01-CAULFIELD-ON-CAMPUS

Requisites

Prohibition

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Joanna Dipnall

Unit Coordinator(s)

Dr Joanna Dipnall

Learning outcomes

On successful completion of this unit, you should be able to:

Apply foundational programming principles using the Python language

Describe and implement basic elements and various data types in Python

Investigate and apply relevant Python packages for health data analytics

Apply appropriate data wrangling, visualisation and basic regression techniques in Python for health data analytics

Solve problems in a variety of health-related contexts using the Python programming language

Reflect on your work to describe your learning, and how it might relate to future learning experiences

Assessment

1 - Report: Data frames and visualisations

2 - Report: Regression and classification

3 - 4 x Quizzes

4 - Reflection (600 words)

Scheduled and non-scheduled teaching activities

Tutorials

Workload requirements

Workload