Demand Forecasting Using Time Series
Completed by RAJARAM GADTYA
April 20, 2023
9 hours (approximately)
RAJARAM GADTYA'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: Customer Demand Planning
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
- Category: Python Programming
- Category: Forecasting
- Category: Statistical Modeling
- Category: Correlation Analysis
- Category: Supply Chain Management
- Category: Data Visualization
