Business Analytics and Visualisation

INF70008 12.5 Credit Points Hawthorn

Duration

  • One Semester or equivalent

Contact hours

  • 36 hours

2021 teaching periods

Hawthorn

HT2  Term 2 HT2  Term 2

Dates:
19 Apr 21 - 30 May 21

Results:
6 Jul 21

Last self enrolment:
19 Apr 21

Census:
7 May 21

Last withdraw without fail:
14 May 21

Dates:
19 Apr 21 - 30 May 21

Results:
6 Jul 21

Last self enrolment:
19 Apr 21

Census:
7 May 21

Last withdraw without fail:
14 May 21

More teaching periods
HT3  Term 3 HT3  Term 3

Dates:
2 Aug 21 - 12 Sep 21

Results:
12 Oct 21

Last self enrolment:
2 Aug 21

Census:
13 Aug 21

Last withdraw without fail:
27 Aug 21

Dates:
2 Aug 21 - 12 Sep 21

Results:
12 Oct 21

Last self enrolment:
2 Aug 21

Census:
13 Aug 21

Last withdraw without fail:
27 Aug 21


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.