Demand Forecasting Using Time Series
Completed by PARON ASIB S
October 31, 2024
9 hours (approximately)
PARON ASIB S'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: Statistical Modeling
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Trend Analysis
- Category: Forecasting
- Category: Data Analysis
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
