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Course Outline

Introduction to Shiny

  • Overview of Shiny and its operating principles
  • Installation procedures and initial configuration
  • Browsing Shiny examples and the application gallery

UI and Server Architecture

  • Comprehending the ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and various layout functions
  • Structuring input controls and output elements

Reactivity and Dynamic Interactions

  • Reactive expressions and observer functions
  • Managing application behavior through reactive inputs
  • Identifying and resolving reactivity issues

Data Visualization and Reporting

  • Incorporating ggplot2 and plotly into Shiny apps
  • Creating reactive tables using DT or reactable
  • Producing downloadable reports via rmarkdown

Advanced UI and Customization

  • Implementing tabs, conditional panels, and modal dialogs
  • Applying custom CSS and thematic styles
  • Leveraging Shiny modules to enhance code reusability

Deployment and Hosting

  • Deploying applications to Posit Cloud or Shinyapps.io
  • Executing apps locally and on Shiny Server
  • Handling dependencies and version control

Case Study and Application Design

  • Constructing a comprehensive dashboard from the ground up
  • Implementing interactive filters and user-driven analytical insights
  • Strategies for optimizing performance, security, and scalability

Summary and Next Steps

Requirements

  • Proficiency in R programming
  • Practical experience with data analysis or visualization
  • Knowledge of HTML and CSS is advantageous but not mandatory

Target Audience

  • Data analysts and scientists
  • R developers aiming to create interactive dashboards
  • Researchers and educators seeking to visualize data for public or internal stakeholders
 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

2026-10-15 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Shiny App Web Development with R

2026-10-29 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Shiny App Web Development with R

2026-11-12 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Shiny App Web Development with R

2026-11-26 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Shiny App Web Development with R

2026-12-10 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

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