Demand Forecasting Using Time Series
Completed by Öznur Akyüz
October 27, 2021
9 hours (approximately)
Öznur Akyüz'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: Trend Analysis
- Category: Applied Machine Learning
- Category: Correlation Analysis
- Category: Forecasting
- Category: Plot (Graphics)
- Category: Supply Chain Management
- Category: Python Programming
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Predictive Modeling
- Category: Supply Chain Systems
- Category: Regression Analysis
