Demand Forecasting Using Time Series
Completed by Shalini Jaiswal
November 27, 2022
9 hours (approximately)
Shalini Jaiswal'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: Regression Analysis
- Category: Supply Chain Systems
- Category: Correlation Analysis
- Category: Applied Machine Learning
- Category: Trend Analysis
- Category: Supply Chain Management
- Category: Predictive Modeling
- Category: Python Programming
- Category: Pandas (Python Package)
- Category: Data Visualization
- Category: Supply Chain
- Category: Data Analysis
