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: Supply Chain Management
- Category: Data Visualization
- Category: Python Programming
- Category: Trend Analysis
- Category: Machine Learning
- Category: Statistical Modeling
- Category: Forecasting
- Category: Correlation Analysis
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Plot (Graphics)
- Category: Data Analysis
