- Predictive Analytics
- Exploratory Data Analysis
- Data Analysis
- Data Visualization
- Predictive Modeling
- Python Programming
- Forecasting
- Time Series Analysis and Forecasting
- Matplotlib
- Supply Chain Management
- Applied Machine Learning
- Pandas (Python Package)
Demand Forecasting Using Time Series
Completed by Jose Urriola
December 28, 2022
9 hours (approximately)
Jose Urriola'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
