Demand Forecasting Using Time Series
Completed by Linh Thi My Le
December 13, 2024
9 hours (approximately)
Linh Thi My Le'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
- Category: Plot (Graphics)
- Category: Forecasting
- Category: Pandas (Python Package)
- Category: Correlation Analysis
- Category: Supply Chain Systems
- Category: Data Analysis
- Category: Regression Analysis
- Category: Data Visualization
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Machine Learning
- Category: Trend Analysis
