Introduction to Data Science

COS10022 12.5 Credit Points Hawthorn, Sarawak 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


Aims and objectives

This unit aims at introducing students to the key concepts and techniques in data science and Big Data analytics. Students will be introduced to different stages in data analytics and given the opportunity to plan and design data science projects that address business and organisational needs.


Unit Learning Outcomes (ULO)

Students who successfully complete this unit will be able to:

1. Appreciate the roles of data science and Big Data analytics in organisational contexts.
2. Compare and analyse he key concepts, techniques and tools for discovering, analysing, visualising and presenting data.
3. Describe the processes within the Data Analytics Lifecycle.
4. Analyse organisational problems and formulate them into data science tasks.
5. Evaluate suitable techniques and tools for specific data science tasks.
6. Develop and execute an analytics plan for a given case study.