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

  • 24 hours face to face + blended

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

2023 teaching periods

Hawthorn

Higher Ed. Semester 1		 Hawthorn

HT3  Term 3

Dates:
27 Feb 23 - 28 May 23

Results:
4 Jul 23

Last self enrolment:
12 Mar 23

Census:
31 Mar 23

Last withdraw without fail:
14 Apr 23

Dates:
31 Jul 23 - 10 Sep 23

Results:
10 Oct 23

Last self enrolment:
31 Jul 23

Census:
11 Aug 23

Last withdraw without fail:
25 Aug 23

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.
 
Unit Learning Outcomes (ULO)
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.