- Machine Learning
- Statistical Modeling
- Trend Analysis
- Customer Demand Planning
- Predictive Modeling
- Matplotlib
- Python Programming
- Data Analysis
- Forecasting
- Regression Analysis
- Pandas (Python Package)
- Data Visualization
Demand Forecasting Using Time Series
Completed by Sandeep Rana
November 28, 2021
9 hours (approximately)
Sandeep Rana'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
