Demand Forecasting Using Time Series
Completed by Ian Fielder
May 10, 2026
9 hours (approximately)
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What you will learn
Building ARIMA models in Python to make demand predictions
Developing the framework for more advanced neural netowrks (such as LSTMs) by understanding autocorrelation and autoregressive models.
Skills you will gain
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Data Analysis
- Category: Forecasting
- Category: Trend Analysis
- Category: Supply Chain Management
- Category: Data Visualization
- Category: Plot (Graphics)
- Category: Supply Chain
- Category: Python Programming
