Demand Forecasting Using Time Series
Completed by Ahmad Akmaluddin Hasni
January 22, 2025
9 hours (approximately)
Ahmad Akmaluddin Hasni'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: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
- Category: Machine Learning
- Category: Demand Planning
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Customer Demand Planning
- Category: Correlation Analysis
- Category: Trend Analysis
- Category: Python Programming
