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: Correlation Analysis
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain Management
- Category: Supply Chain
- Category: Time Series Analysis and Forecasting
- Category: Data Analysis
- Category: Plot (Graphics)
- Category: Python Programming
- Category: Statistical Modeling
- Category: Forecasting
