ETF2121 · Monash University
Data analysis in business
- Credit points
- 6
- Level
- 2
- Workload
- ≈ 12 h / week
- Faculty
- Business and Economics
What it covers
This unit provides an overview of fundamental tools of data and statistical analysis used in the Business and Economics disciplines. The methods covered are widely used in industry and academia, providing the necessary foundation for more advanced approaches as you advance your training and career. This unit delves deeper into basic statistical concepts, with a focus on their application in finance, accounting, and other sectors. It introduces cutting-edge software and programming languages such as R, Power-BI and SQL for robust data analysis and predictive modelling. You will engage with modern data sources and advanced sampling techniques, learn to perform hypothesis testing, and apply modelling techniques such as regression and time series analysis in business contexts. The unit places a strong emphasis on practical applications, aiming to equip you with the skills to interpret and leverage statistical data for solving business problems and making informed decisions in industry.
Assessment
| Task | Type | Weight |
|---|---|---|
| 1 - Exercise | Exercise | 10% |
| 3 - Examination | Examination | 50% |
| 2 - Portfolio | Portfolio | 40% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | Blended |
| First semester | Caulfield | Blended |