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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics
  • Installation procedures and initial setup
  • Reviewing Shiny examples and the community gallery

UI and Server Architecture

  • Analyzing the ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions
  • Structuring input elements and output displays

Reactivity and Dynamic Interactions

  • Working with reactive expressions and observers
  • Directing app behavior through reactive inputs
  • Identifying and resolving reactivity issues

Data Visualization and Reporting

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

Advanced UI and Customization

  • Implementing tabs, conditional panels, and modals
  • Applying custom CSS and themes for enhanced aesthetics
  • Leveraging Shiny modules for code reusability

Deployment and Hosting

  • Publishing apps to Posit Cloud or Shinyapps.io
  • Executing apps locally and via Shiny Server
  • Handling dependency management and version control

Case Study and Application Design

  • Constructing a comprehensive dashboard from the ground up
  • Implementing interactive filters and user-driven insights
  • Strategies for optimizing performance, 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 looking to create interactive dashboards
  • Researchers and educators seeking to visualize data for public or internal audiences

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

2026-11-16 09:30
14 hours
Tours, Les Rives Public Garden
2550 EUR (Online)
2950 EUR (Classroom)

Shiny App Web Development with R

2026-11-30 09:30
14 hours
Limoges, City Center
2550 EUR (Online)
2950 EUR (Classroom)

Shiny App Web Development with R

2026-12-14 09:30
14 hours
Paris, Opera Bourse
2550 EUR (Online)
2950 EUR (Classroom)

Shiny App Web Development with R

2026-12-28 09:30
14 hours
Lyon, Swisslife Tower
2550 EUR (Online)
2950 EUR (Classroom)

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