Demand Forecasting Using Time Series
Completed by Donato Oliver Lugardo Abraján
August 13, 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: Statistical Analysis
- Category: Machine Learning
- Category: Data Analysis
- Category: Plot (Graphics)
- Category: Statistical Modeling
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Customer Demand Planning
- Category: Demand Planning
- Category: Supply Chain Management
- Category: Data Visualization
- Category: Correlation Analysis
