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Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics
  • Installation processes and initial setup
  • Exploring Shiny examples and the community gallery

UI and Server Architecture

  • Understanding the ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions
  • Structuring inputs and outputs effectively

Reactivity and Dynamic Interactions

  • Managing reactive expressions and observers
  • Controlling application behavior through reactive inputs
  • Troubleshooting and debugging reactivity issues

Data Visualization and Reporting

  • Integrating ggplot2 and plotly within Shiny applications
  • Creating reactive tables using DT or reactable
  • Generating downloadable reports via rmarkdown

Advanced UI and Customization

  • Incorporating tabs, conditional panels, and modals
  • Applying custom CSS and themes for enhanced aesthetics
  • Leveraging Shiny modules for efficient code reuse

Deployment and Hosting

  • Deploying applications to Posit Cloud or Shinyapps.io
  • Running apps locally and on Shiny Server
  • Managing project dependencies and version control

Case Study and Application Design

  • Constructing a full-featured dashboard from the ground up
  • Implementing interactive filters and user-driven insights
  • Best practices for performance optimization, security, and scalability

Summary and Next Steps

Requirements

  • A solid understanding of R programming
  • Practical experience with data analysis or visualization
  • Basic familiarity with HTML and CSS is beneficial but not mandatory

Target Audience

  • Data analysts and scientists
  • R developers aiming to create interactive dashboards
  • Researchers and educators who visualize data for public or internal audiences
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA
Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada
Course - Data Analytics With R

Upcoming Courses

Shiny App Web Development with R

2026-10-09 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Shiny App Web Development with R

2026-10-23 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

Shiny App Web Development with R

2026-11-06 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Shiny App Web Development with R

2026-11-20 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

Shiny App Web Development with R

2026-12-04 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Shiny App Web Development with R

2026-12-18 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

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