Get in Touch
 Duration 14 hours

Course Outline

Introduction to Shiny

  • Overview of Shiny and its functionality
  • Installation and initial setup
  • Reviewing Shiny examples and the gallery

UI and Server Architecture

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

Reactivity and Dynamic Interactions

  • Reactive expressions and observers
  • Managing app behaviour through reactive inputs
  • Troubleshooting reactivity issues

Data Visualization and Reporting

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

Advanced UI and Customization

  • Incorporating tabs, conditional panels, and modals
  • Applying custom CSS and themes
  • Utilising 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 versions

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
  • Experience in data analysis or visualization
  • Knowledge of HTML and CSS is advantageous but not mandatory

Audience

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

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

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

2026-11-16 09:30
14 hours
Pretoria - Brooklyn Bridge

Shiny App Web Development with R

2026-11-30 09:30
14 hours
Cape Town - City Lodge Hotel Victoria and Alfred Waterfront

Shiny App Web Development with R

2026-12-14 09:30
14 hours
Johannesburg - City Lodge Waterfall City

Shiny App Web Development with R

2026-12-28 09:30
14 hours
Garden Court South Beach

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