- Statistical Modeling
- Forecasting
- Machine Learning
- Regression Analysis
- Customer Demand Planning
- Data Visualization
- Pandas (Python Package)
- Time Series Analysis and Forecasting
- Supply Chain Management
- Correlation Analysis
- Data Analysis
- Trend Analysis
Demand Forecasting Using Time Series
Completed by Sergey Kuper
December 7, 2021
9 hours (approximately)
Sergey Kuper'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
