Demand Forecasting Using Time Series
Completed by Anastasiia Stavytska
March 25, 2024
9 hours (approximately)
Anastasiia Stavytska'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: Data Analysis
- Category: Forecasting
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Statistical Analysis
- Category: Statistical Modeling
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Python Programming
- Category: Supply Chain
