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Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics
  • Installation and initial setup
  • Exploring Shiny examples and the gallery

UI and Server Architecture

  • Understanding the ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and layout functions
  • Designing input and output elements

Reactivity and Dynamic Interactions

  • Reactive expressions and observers
  • Managing application behavior through reactive inputs
  • Debugging reactivity-related issues

Data Visualization and Reporting

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

Advanced UI and Customization

  • Implementing tabs, conditional panels, and modals
  • Incorporating custom CSS and themes
  • Utilizing Shiny modules for code reusability

Deployment and Hosting

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

Case Study and Application Design

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

Summary and Next Steps

Requirements

  • Proficiency in R programming
  • Experience in data analysis or visualization
  • Basic familiarity with HTML and CSS is beneficial but not mandatory

Audience

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

2026-10-12 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Shiny App Web Development with R

2026-10-26 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

Shiny App Web Development with R

2026-11-09 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Shiny App Web Development with R

2026-11-23 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

Shiny App Web Development with R

2026-12-07 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Shiny App Web Development with R

2026-12-21 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

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