AI en Data Science


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° DA2122-M17 Engels


Shiny offers the ability to implement interactive interfaces to R code. The framework gained a lot of traction in recent years, and is used to create a wild variety of dashboards.

While many shiny applications run on servers, recent additions make it possible to include interactivity in R notebooks and R Markdown documents, build interfaces into packages or distribute them as github repositories.

In this course we cover the basics of Shiny and reactive programming, the paradigm on which shiny is built.

This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via


We cover the following topics:

  • The basics of shiny applications
  • Controlling the layout (front end)
  • Reactive programming (back end)
  • Deployment of shiny apps in different formats
  • Debugging and profiling your code for speed
  • Use of modules (if time allows)

Participants will have ample opportunity to practice hands-on the concepts learnt.

Type opleiding:
Kort- en langlopende opleidingen
AI en Data Science, Wetenschappen
2021 - 2022
Joris Meys
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