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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Defining Shiny and explaining its operational mechanics
  • Installation procedures and initial configuration
  • Reviewing the Shiny example gallery

UI and Server Architecture

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

Reactivity and Dynamic Interactions

  • Implementing reactive expressions and observers
  • Regulating application behavior through reactive inputs
  • Resolving reactivity-related debugging challenges

Data Visualization and Reporting

  • Embedding ggplot2 and plotly within Shiny apps
  • Creating responsive tables using DT or reactable
  • Producing downloadable reports via rmarkdown

Advanced UI and Customization

  • Incorporating tabs, conditional panels, and modal windows
  • Applying custom CSS styles and themes
  • Leveraging Shiny modules to facilitate code reuse

Deployment and Hosting

  • Publishing apps to Posit Cloud or Shinyapps.io
  • Executing apps locally and on Shiny Server
  • Overseeing dependencies and version control

Case Study and Application Design

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

Summary and Next Steps

Requirements

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

Target Audience

  • Data analysts and scientists
  • R developers interested in creating interactive dashboards
  • Researchers and educators aiming 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

2026-11-09 09:30
14 hours
Rome
2100 EUR (Online)
2500 EUR (Classroom)

Shiny App Web Development with R

2026-11-23 09:30
14 hours
Milan
2100 EUR (Online)
2500 EUR (Classroom)

Shiny App Web Development with R

2026-12-07 09:30
14 hours
Naples
2100 EUR (Online)
2500 EUR (Classroom)

Shiny App Web Development with R

2026-12-21 09:30
14 hours
Turin
2100 EUR (Online)
2500 EUR (Classroom)

Shiny App Web Development with R

2027-01-04 09:30
14 hours
Genoa
2100 EUR (Online)
2500 EUR (Classroom)

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