Demand Forecasting Using Time Series
Completed by RAM PRASHANTH V
November 3, 2024
9 hours (approximately)
RAM PRASHANTH V'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: Applied Machine Learning
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Trend Analysis
- Category: Correlation Analysis
- Category: Predictive Modeling
- Category: Forecasting
- Category: Regression Analysis
- Category: Data Analysis
- Category: Python Programming
- Category: Supply Chain Systems
- Category: Machine Learning
