Demand Forecasting Using Time Series
Completed by Nada Omar Zoher
March 4, 2026
9 hours (approximately)
Nada Omar Zoher'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: Statistical Modeling
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Predictive Analytics
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Forecasting
- Category: Supply Chain
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Python Programming
