Skip to Content

Advanced Analytics Techniques - MGMT320

This is an advanced applied-skills unit which extends concepts and analytical techniques from earlier units. Students will access data from customer databases, security services, transport and social media to create graphical representations of data for analysis of locational maps, social networks, timelines and event flowcharts. Students will clean data in commonly-used spreadsheet formats and make extensive use of proprietary software from big-data orientated companies such as IBM, Google, Tableau and others. Students will develop skills in data visualisation that can be applied to competitive behaviour, target customer analysis, criminology and security intelligence problems.

Credit Points: 3
When Offered:

S1 Day - Session 1, North Ryde, Day

Staff Contact(s): Associate Professor Hume Winzar

STAT270 and MGMT220 Prerequisite Information


Unit Designation(s):


Unit Type:
Assessed As: Graded
Offered By:

Department of Actuarial Studies and Business Analytics

Faculty of Business and Economics

Course structures, including unit offerings, are subject to change.
Need help? Ask us.