ETW3483 · Monash University
Applied analytics
- Credit points
- 6
- Level
- 3
- Workload
- ≈ 12 h / week
- Faculty
- Business and Economics
What it covers
Understanding data for insights is an essential prerequisite for driving competitive advantage in this digital era. This unit will cover key concepts and skills in open data management, advanced visualization, statistical machine learning, and the analytical life cycle of an analytical research project. You will learn essential data and statistical methods to leverage data as a strategic asset for better decisions and recommendations. By applying analytics in a research project, you will be able to use open data responsibly, visualize trends and patterns, interpret and predict outcomes, and finally, communicate results and insights to stakeholders in the global environment.
Assessment
| Task | Type | Weight |
|---|---|---|
| 2 - Artefact | Artefact | 30% |
| 3 - Written | Written | 40% |
| 1 - Project | Project | 30% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Malaysia | On-campus |
| First semester | Malaysia | On-campus |