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 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its operational mechanics
  • Installation processes and initial setup
  • Reviewing Shiny examples and the application gallery

UI and Server Architecture

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

Reactivity and Dynamic Interactions

  • Working with reactive expressions and observers
  • Managing app behavior through reactive inputs
  • Troubleshooting reactivity issues

Data Visualization and Reporting

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

Advanced UI and Customization

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

Deployment and Hosting

  • Deploying applications 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

  • A solid understanding of R programming
  • Practical experience in data analysis or visualization
  • Familiarity with HTML and CSS is advantageous but not mandatory

Target Audience

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

Need help picking the right course?
uae@nobleprog.com or +971 4871 6715

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

2026-11-20 09:30
14 hours
Clock Tower - Port Saeed

Shiny App Web Development with R

2026-12-04 09:30
14 hours
Park Rotana Complex

Shiny App Web Development with R

2026-12-18 09:30
14 hours
Radisson Blu Hotel & Resort

Shiny App Web Development with R

2027-01-01 09:30
14 hours
Sharjah Expo Centre

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