Forecasting Technique Course
Gain expertise in practical forecasting methods for monthly sales data. Delve into time series analysis, ARIMA and ETS models, feature engineering, model selection, and evaluation techniques to produce precise six-month forecasts that inform superior marketing strategies, inventory control, and revenue optimisation decisions.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Acquire practical forecasting skills to develop dependable six-month sales forecasts from actual monthly data. This intensive course covers cleaning and validating CSV files, creating calendar and promotion features, implementing ARIMA, ETS, and regression models, assessing performance via backtesting, and producing insightful forecast reports to enhance planning, inventory management, and marketing budget allocation.
Elevify advantages
Develop skills
- Time series feature engineering: swiftly construct promotion, calendar, and lag features.
- ARIMA, ETS, and SARIMA modelling: implement, refine, and evaluate forecasts effectively.
- Forecast evaluation: conduct backtests, analyse error metrics, and examine residual diagnostics.
- Machine learning forecasting: deploy tree-based models with lags for reliable short-term improvements.
- Operational six-month planning: convert forecasts into actionable inventory and marketing strategies.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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