Data Science with Python

COS60013 12.5 Credit Points Hawthorn

Duration

  • One Semester or equivalent

Contact hours

  • 24 Hours

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
On successful completion of this unit students will be able to:
#Unit Learning Outcome Description
ULO1Implement and justify an appropriate data model for specific requirements
ULO2Initiate statistical methods to test a hypothesis
ULO3Analyse data to identify trends, insights, and make recommendations
ULO4Articulate results to stakeholders through visualisations