Demand Forecasting Using Time Series
Completed by Mohammad Majid
April 27, 2025
9 hours (approximately)
Mohammad Majid'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: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain Management
- Category: Data Visualization
- Category: Correlation Analysis
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Trend Analysis
- Category: Python Programming
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
