Business Analytics and Visualisation

INF70008 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 36 hours

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

2022 teaching periods

Hawthorn

Higher Ed. Semester 1 HT3  Term 3

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

Dates:
1 Aug 22 - 11 Sep 22

Results:
11 Oct 22

Last self enrolment:
1 Aug 22

Census:
12 Aug 22

Last withdraw without fail:
26 Aug 22

Aims and objectives

This unit focuses on business analytics and visualisation, equipping students with the relevant data analytics and visualisation skills required to solve the complex data problems of modern businesses. Students will have the opportunity to learn about evidence based decision-making, online analytical processing, big data, data visualisations and various tools and techniques to perform descriptive, predictive and prescriptive analytics and their application in various domains.
 
Students who successfully complete this unit will be able to:
 
1. Critically evaluate the concept of business analytics and visualisation and its application in various organisational contexts.
 
2. Critically evaluate the concepts of descriptive, predictive and prescriptive analytics and apply the appropriate data analytics tools and techniques to implement business analytics strategy.
 
3. Apply critical thinking and problem solving skills to resolve complex data problems.
 
4. Research and evaluate the effect of big data, unstructured data, stream analysis and text analytics.
 
5. Demonstrate appropriate communications skills in group work as well as written and oral presentations.