Time Series with Code (Open)

In two tutorials, learn to use R code to build traditional models and Keras code to build deep learning models for time series data

Time Series with Code (Open)

Curriculum

About this course

About this course

This course looks at two approaches to using code to build models for time series data:

  • The R language has several packages built specifically to handle time series data, including forecast and zoo. In the first section of the course, you will learn how to use R in DSS for time series analysis, exploration, modeling, and time series model deployment.
  • As an alternative to traditional time series models like ARIMA, you can use deep learning for forecasting.  The second section of this course walks through how to build a long short-term memory (LSTM) network, using Keras code in Dataiku’s Visual Machine Learning.