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 Duration 14 hours

Course Outline

Introduction to Shiny

  • What Shiny is and how it functions
  • Installing and setting up the environment
  • Reviewing Shiny examples and the gallery

UI and Server Architecture

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

Reactivity and Dynamic Interactions

  • Working with reactive expressions and observers
  • Controlling app behaviour through reactive inputs
  • Troubleshooting reactivity issues

Data Visualisation and Reporting

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

Advanced UI and Customisation

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

Deployment and Hosting

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

Case Study and Application Design

  • Developing a full-featured dashboard from scratch
  • Implementing interactive filters and user-driven insights
  • Advice on performance, security, and scalability

Summary and Next Steps

Requirements

  • A solid understanding of R programming
  • Experience working with data analysis or visualisation
  • Knowledge of HTML and CSS is beneficial but not essential

Audience

  • Data analysts and scientists
  • R developers looking to build interactive dashboards
  • Researchers and educators who visualise 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

Provisional Upcoming Courses (Require 5+ participants)

Shiny App Web Development with R

2026-11-30 09:30
14 hours
London Circuit
4700 AUD (Online)
11300 AUD (Classroom)

Shiny App Web Development with R

2026-12-14 09:30
14 hours
200 Mary Street, Brisbane
4700 AUD (Online)
11300 AUD (Classroom)

Shiny App Web Development with R

2026-12-28 09:30
14 hours
Adelaide City Central
4700 AUD (Online)
11300 AUD (Classroom)

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