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Time series forecasting: Principles and practice
ETW3420
Synopsis
Obtaining reliable forecasts of business and economic variables is a challenging task that organisations face. With a focus on time series data, you will be introduced to forecasting methods commonly used in practice. These methods include the decomposition of time series, exponential smoothing, and ARIMA modelling. You can expect to enhance your computer skills with exercises using R.
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 (5)
- Introductory econometricsETC2410
- ETC3440ETC3440
- Introductory econometricsETF2100
- Unsupervised learning for businessETW2500
- Statistical modelling for decision makingETW2510
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (2)
- First semesterMalaysia · ON-CAMPUS
- Second semesterMalaysia · ON-CAMPUS
Listed in 2 areas of study
- Econometrics and business statisticsCore units
- Econometrics and business statisticsEconometrics and business statistics additional units