Demand Forecasting Using Time Series
Completed by Ayman EL MAHDAOUI
December 24, 2024
9 hours (approximately)
Ayman EL MAHDAOUI'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: Correlation Analysis
- Category: Trend Analysis
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Python Programming
- Category: Data Analysis
- Category: Plot (Graphics)
- Category: Supply Chain Management
- Category: Data Visualization
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
