Live Training: Time Series Forecasting with Python

Despite being not the youngest branch of data analysis, time series forecasting still poses a great challenge to both researchers and practitioners. As Niels Bohr said years ago "Prediction is very difficult, especially when it's about the future". Fortunately, plurality of approaches have been proposed to address this commonly appearing challenge. This course introduces the users to the most prominent and widely used solutions, explaining their advantages and disadvantages together with tips and recommendations on the suited-for-purpose model usage. To facilitate rapid transition of time series theory into actual business applications that students may encounter and profit from in real life, the course is equipped with hands-on code run-throughs provided in python. At the end of the course, prediction will for sure be less difficult.