Data Science Using Python

COS60013 12.5 Credit Points Hawthorn


  • One Semester or equivalent

Contact hours

  • 24 hours face to face + blended

On-campus unit delivery combines face-to-face and digital learning.

Aims and objectives

This unit aims to develop students’ conceptual and practical understanding of the field of data analytics in the contexts of real-world applications. The students will gain the understanding of how to identify and define data science relevant tasks in practical scenarios, and acquire the ability to apply given techniques and tools to resolve given data analytics relevant tasks.
Unit Learning Outcomes (ULO)
On successful completion of this module the learner will be able to:
1. Design machine learning models to inform organisational decision-making
2. Apply relevant algorithms to analyse data and make predictions  
3. Test, evaluate, improve and deploy an effective machine learning model
4. Justify the approach taken to create machine learning models within different organisational contexts