- Correlation Analysis
- Statistical Modeling
- Data Analysis
- Python Programming
- Matplotlib
- Forecasting
- Data Visualization
- Machine Learning
- Pandas (Python Package)
- Supply Chain Management
- Regression Analysis
- Predictive Modeling
Demand Forecasting Using Time Series
Completed by RAJARAM GADTYA
April 20, 2023
9 hours (approximately)
RAJARAM GADTYA'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
