- Forecasting
- Customer Demand Planning
- Correlation Analysis
- Trend Analysis
- Pandas (Python Package)
- Predictive Analytics
- Exploratory Data Analysis
- Plot (Graphics)
- Statistical Modeling
- Applied Machine Learning
- Regression Analysis
- Data Visualization
Demand Forecasting Using Time Series
Completed by HADIEHSADAT SEYEDIAN
November 16, 2021
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
