- Supply Chain Management
- Correlation Analysis
- Regression Analysis
- Data Visualization
- Python Programming
- Predictive Modeling
- Pandas (Python Package)
- Forecasting
- Trend Analysis
- Statistical Modeling
- Machine Learning
- Time Series Analysis and Forecasting
Demand Forecasting Using Time Series
Completed by Yassine Berriche
September 24, 2022
9 hours (approximately)
Yassine Berriche'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
