- Data Visualization
- Correlation Analysis
- Python Programming
- Customer Demand Planning
- Time Series Analysis and Forecasting
- Predictive Modeling
- Pandas (Python Package)
- Supply Chain Management
- Data Analysis
- Trend Analysis
- Matplotlib
- Regression Analysis
Demand Forecasting Using Time Series
Completed by Rajesh Telikicherla
February 22, 2024
9 hours (approximately)
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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
