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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics
  • Installation procedures and initial configuration
  • Review of Shiny examples and the community gallery

UI and Server Architecture

  • Analyzing the structure of ui.R and server.R components
  • Implementing fluidPage(), sidebarLayout(), and other layout functions
  • Designing effective input controls and output displays

Reactivity and Dynamic Interactions

  • Managing reactive expressions and observers
  • Regulating application behavior through reactive inputs
  • Identifying and resolving reactivity-related issues

Data Visualization and Reporting

  • Integrating ggplot2 and plotly libraries into Shiny apps
  • Constructing reactive data tables using DT or reactable
  • Generating exportable reports via rmarkdown

Advanced UI and Customization

  • Implementing tabs, conditional panels, and modal dialogs
  • Applying custom CSS styles and themes
  • Leveraging Shiny modules for enhanced code reusability

Deployment and Hosting

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

Case Study and Application Design

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

Conclusion and Future Directions

Requirements

  • A solid grasp of R programming fundamentals
  • Practical experience in data analysis or visualization
  • Knowledge of HTML and CSS is advantageous, though not mandatory

Intended Audience

  • Data analysts and data scientists
  • R developers focused on creating interactive dashboards
  • Researchers and educators looking to visualize data for public or internal stakeholders

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

2026-11-12 09:30
14 hours
Ostrava
3000 EUR (Online)
3000 EUR (Classroom)

Shiny App Web Development with R

2026-11-26 09:30
14 hours
Prague, Prague Castle
3000 EUR (Online)
3400 EUR (Classroom)

Shiny App Web Development with R

2026-12-10 09:30
14 hours
Brno
3000 EUR (Online)
3000 EUR (Classroom)

Shiny App Web Development with R

2026-12-24 09:30
14 hours
Ostrava
3000 EUR (Online)
3000 EUR (Classroom)

Shiny App Web Development with R

2027-01-07 09:30
14 hours
Prague, Prague Castle
3000 EUR (Online)
3400 EUR (Classroom)

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