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Course Outline

Getting Started with Shiny

  • Overview of Shiny and its operational mechanics.
  • Installation procedures and initial configuration.
  • Reviewing Shiny examples and the application gallery.

UI and Server Architecture

  • Comprehending the roles of ui.R and server.R components.
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions.
  • Structuring input controls and output displays.

Reactivity and Dynamic Interactions

  • Managing reactive expressions and observers.
  • Governing application behavior through reactive inputs.
  • Identifying and resolving reactivity-related issues.

Data Visualization and Reporting

  • Embedding ggplot2 and plotly within Shiny applications.
  • Creating reactive tables using DT or reactable.
  • Generating downloadable reports via 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

  • Publishing apps to Posit Cloud or Shinyapps.io.
  • Executing apps locally and on Shiny Server.
  • Handling 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.

Recap and Future Steps

Requirements

  • Solid understanding of R programming.
  • Practical experience in data analysis or visualization.
  • Basics of HTML and CSS are beneficial, though not mandatory.

Target Audience

  • Data analysts and scientists.
  • R developers looking to create interactive dashboards.
  • Researchers and educators visualizing 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

2026-10-09 09:30
14 hours
Noida, Sector 62 - Classroom
168,661 INR (Online)
180,661 INR (Classroom)

Shiny App Web Development with R

2026-10-23 09:30
14 hours
Tamil Nadu, OMR, Chennai - Classroom
168,661 INR (Online)
178,661 INR (Classroom)

Shiny App Web Development with R

2026-11-06 09:30
14 hours
Kerela, Kochi - Classroom
168,661 INR (Online)
182,661 INR (Classroom)

Shiny App Web Development with R

2026-11-20 09:30
14 hours
Bangalore, UB City - Classroom
168,661 INR (Online)
198,661 INR (Classroom)

Shiny App Web Development with R

2026-12-04 09:30
14 hours
Bangladesh, Dhaka - Classroom
168,661 INR (Online)
207,461 INR (Classroom)

Shiny App Web Development with R

2026-12-18 09:30
14 hours
Bhutan, Thimphu - Classroom
168,661 INR (Online)
183,661 INR (Classroom)

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