ETF2020 · Monash University
Statistical foundations of business analytics
- Credit points
- 6
- Level
- 2
- Workload
- ≈ 12 h / week
- Faculty
- Business and Economics
What it covers
The business world is characterised by decision making in an environment of risk. To gain a deeper understanding of the tools and models used in business analytics, a strong foundation in probability and statistics is required. Probability provides a "language" for thinking about risk, while statistics provides a framework for making data-driven inferences and predictions. This unit provides a strong grounding in these fundamentals. Some of the topics covered may include risk v uncertainty v probability, famous statistical paradoxes, decision theory, frameworks for statistical inference (frequentist, Bayesian, etc.) and simulation and re-sampling. Examples from real world business problems will be used to motivate each topic.
Assessment
| Task | Type | Weight |
|---|---|---|
| 2 - Exercise | Exercise | 10% |
| 1 - Written | Written | 40% |
| 3 - Examination | Examination | 50% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | Blended |
| First semester | Caulfield | Blended |