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: Supply Chain Systems
- Category: Time Series Analysis and Forecasting
- Category: Regression Analysis
- Category: Supply Chain Management
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Correlation Analysis
- Category: Data Visualization
- Category: Machine Learning
- Category: Pandas (Python Package)
- Category: Statistical Modeling
