- Statistical Modeling
- Regression Analysis
- Customer Demand Planning
- Data Visualization
- Supply Chain Management
- Predictive Modeling
- Forecasting
- Pandas (Python Package)
- Time Series Analysis and Forecasting
- Demand Planning
- Exploratory Data Analysis
- Data Analysis
Demand Forecasting Using Time Series
Completed by WASSIM AZOUGAGH
November 25, 2024
9 hours (approximately)
WASSIM AZOUGAGH'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
