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 |
| Prerequisites: | |
| Corequisites: | |
| NCCW(s): | |
| 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.