Introduction to Data Science

COS60008 12.5 Credit Points per subject Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or Equivalent

Contact hours

  • 48 hours

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

2022 teaching periods

Hawthorn

Higher Ed. Semester 1

Dates:
28 Feb 22 - 29 May 22

Results:
5 Jul 22

Last self enrolment:
13 Mar 22

Census:
31 Mar 22

Last withdraw without fail:
15 Apr 22


Prerequisites

Entry to MA-ITPC1 Master of Information Technology (Professional Computing)
 
Concurrent pre-requisites
 
Assumed knowledge
Basic understanding of Database concepts

Aims and objectives

This unit aims to develop students’ conceptual and practical understanding of the field of data science in the contexts of real-world applications. The students will learn about basic concepts, key techniques and popular tools in various aspects of data science, following the lifecycle of a practical data science project which involves data collection, management, wrangling, analytics and visualisation. They 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 science relevant tasks.


Unit Learning Outcomes (ULO)


Students who successfully complete this unit will be able to:

1. Demonstrate knowledge of fundamental concepts, key techniques and popular tools in data science, and understanding of the lifecycle of a practical data science project
2. Demonstrate understanding of the lifecycle of a practical data science project and how to identify and define data science relevant tasks in practical scenarios
3. Critically analyse, evaluate and apply given techniques and tools to solve given data science relevant problems