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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its core mechanics
  • Installation procedures and initial setup
  • Reviewing Shiny examples and the application gallery

UI and Server Architecture

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

Reactivity and Dynamic Interactions

  • Implementing reactive expressions and observers
  • Managing application logic through reactive inputs
  • Identifying and resolving reactivity issues

Data Visualization and Reporting

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

Advanced UI and Customization

  • Incorporating tabs, conditional panels, and modal dialogs
  • Applying custom CSS styles and themes
  • Leveraging Shiny modules for code modularity and reuse

Deployment and Hosting

  • Publishing applications to Posit Cloud or Shinyapps.io
  • Running applications locally and configuring Shiny Server
  • Managing package dependencies and version control

Case Study and Application Design

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

Summary and Future Directions

Requirements

  • Proficiency in R programming fundamentals
  • Practical experience in data analysis or visualization tasks
  • A basic understanding of HTML and CSS is advantageous but not mandatory

Target Audience

  • Data analysts and data scientists
  • R developers aiming to construct interactive dashboards
  • Researchers and educators seeking to present 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

2026-11-05 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

Shiny App Web Development with R

2026-11-19 09:30
14 hours
Ankara
29025 TRY (Online)
29425 TRY (Classroom)

Shiny App Web Development with R

2026-12-03 09:30
14 hours
Antalya
29025 TRY (Online)
29425 TRY (Classroom)

Shiny App Web Development with R

2026-12-17 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

Shiny App Web Development with R

2026-12-31 09:30
14 hours
Ankara
29025 TRY (Online)
29425 TRY (Classroom)

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