- Data Analysis
- Supply Chain
- Time Series Analysis and Forecasting
- Forecasting
- Predictive Analytics
- Regression Analysis
- Machine Learning
- Pandas (Python Package)
- Predictive Modeling
- Matplotlib
- Data Visualization
- Customer Demand Planning
Demand Forecasting Using Time Series
Completed by Rajesh Telikicherla
February 22, 2024
9 hours (approximately)
Rajesh Telikicherla'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
