Demand Forecasting Using Time Series
Completed by Tapas Das
August 30, 2021
9 hours (approximately)
Tapas Das'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: Supply Chain Management
- Category: Data Visualization
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Regression Analysis
- Category: Supply Chain
- Category: Python Programming
- Category: Data Analysis
- Category: Trend Analysis
- Category: Forecasting
- Category: Plot (Graphics)
