Course: Time Series Analysis and Forecasting


Event Details

Monday March 18, 2019 from 9:00 AM to Monday April 1, 2019 5:00 PM
TU/e campus
Data Science
€ 1,890.00 ex. vat

Course dates: 18, 25 March and 1 April 2019

Modern methods for time series analysis, modelling and forecasting (with R)

In analysing time series one searches for structures and patterns to describe and explain the underlying process. But also for ways to forecast future values, based on adequate models fitted, or to research the effects of alternative scenarios.

Time series occur in a wide range of disciplines, from business, economic and social sciences to biomedical and engineering contexts. This course handles current methods for time series analysis, modelling and forecasting.

Apart from the traditional methods for trend and seasonal decomposition of time series, more advanced statistical techniques available for these tasks, both in the time-domain and in the frequency domain are discussed and underlying principles are explained.


Data Science

Data Science is an interdisciplinary field that uses a variety of techniques to create value based on extracting knowledge and insights from available data. The successful and responsible application of these methods highly depends on a good understanding of the application domain, taking into account ethics, business models, and human behavior.