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A course mapper by Monash Association of Coding (MAC)
Business forecasting
ETF3231
Synopsis
Forecasts are crucial for guiding the planning and decision making process in business. In this unit you will learn to apply reliable methods for generating accurate forecasts in a rapidly changing business environment. These include: an introduction to regression modelling from a forecasting perspective, classical decomposition, exponential smoothing, Box-Jenkins ARIMA modelling and judgemental forecasting. You will build your programming skills by learning to program in R, a free programming language for statistical computing.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Econometrics and Business Statistics
- Handbook year
- 2026
Prerequisites (14)
- ETB2111ETB2111
- Introduction to data analysisETC1010
- Introductory econometricsETC2410
- Statistical thinkingETC2420
- Statistical modelling for actuarial studiesETC2560
- ETC3440ETC3440
- Statistical foundations of business analyticsETF2020
- Introductory econometricsETF2100
- Data analysis in businessETF2121
- Foundations of data analysis ETW2001
- Statistical modelling for decision makingETW2510
- Introductory econometricsETX2100
- Data visualisation and communicationETX2250
- Modelling for data analysisFIT2086
What it unlocks (4)
- High dimensional data analysisETX3500
- MacroeconometricsETX4410
- MacroeconometricsETX5441
- High dimensional data analysisETX5500
Offerings (1)
- First semesterCaulfield · ON-CAMPUS
Listed in 3 areas of study
- Business analytics and statisticsCore units
- Business analytics and statisticsSpecified discipline electives
- Financial econometricsAdditional financial econometrics units