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A course mapper by Monash Association of Coding (MAC)
Data analysis in business
ETF2121
Synopsis
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.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 2
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Econometrics and Business Statistics
- Handbook year
- 2026
Prerequisites (8)
- Business statisticsETB1100
- Business and economic statisticsETC1000
- Business statisticsETF1100
- Introduction to statistical analysisETW1001
- Business statisticsETX1100
- Business information analysisFIT1006
- Introduction to statistical reasoningSCI1020
- Statistical methods for scienceSTA1010
What it unlocks (4)
- Applied forecastingETC3550
- Applied forecastingETC5550
- Business forecastingETF3231
- Business forecastingETF5231
Offerings (2)
- Second semesterCaulfield · BLENDED
- First semesterCaulfield · BLENDED
Listed in 2 areas of study
- Business analytics and statisticsCore units
- Business analytics and statisticsAdditional core unit