Time series analysis can be used in a multitude of business applications for forecasting a quantity into the future and explaining its historical patterns. Here are just a few examples of possible use cases:
- Explaining seasonal patterns in sales
- Predicting the expected number of incoming or churning customers
- Estimating the effect of a newly launched product on number of sold units
Introduction to Time Series Analysis with Python: Fit ARIMA and SARIMAX-Models with Statsmodel: Jupyter Notebook
Introduction to Facebook's time series analysis modul Prophet: Jupyter Notebook