Photo by Markus Spiske on Unsplash

Time Series Analysis with Python

Time Series Analysis with Python

Time Series Analysis with Python

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


Avatar
Jan Kirenz
Professor

I’m a data scientist educator and consultant.