Demand Forecasting Using Time Series
Completed by Tra My Le
August 17, 2026
9 hours (approximately)
Tra My Le's account is verified. Coursera certifies their successful completion of Demand Forecasting Using Time Series
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: Trend Analysis
- Category: Supply Chain Management
- Category: Data Visualization
- Category: Statistical Modeling
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Demand Planning
- Category: Predictive Modeling
- Category: Predictive Analytics
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
