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Building Interactive Shiny Web Apps with R Programming
Rating: 4.4 out of 5(17 ratings)
1,121 students

Building Interactive Shiny Web Apps with R Programming

Learn how to build simple to complex web apps using the Shiny framwork in R
Last updated 3/2026
English

What you'll learn

  • Understand the two basic components that makes a Shiny App: User Interface and the Server Side.
  • Learn how to connect and exchange information between these components.
  • Build Interactive Shiny Apps.
  • Publish your App on the web for the world to see.

Course content

7 sections30 lectures1h 55m total length
  • Course Overview0:39
  • Installing and Loading Shiny1:30

    In this lecture you will be shown how to install the Shiny framework and also load in on R


Requirements

  • Basic Understanding of R Programming such as variables, functions and R data structures

Description


If this is your first time using Shiny, welcome!


An R program called Shiny makes it simple to build dynamic, rich web applications.


You may use Shiny to take your R work and make it accessible to the public via a web browser.


Shiny makes you appear good by making it simple to

create beautiful web apps with the least amount of effort.


Most R users before found it challenging to create web apps because of the need to understand web technologies such as HTML, CSS, and JavaScript


Complex interactive apps need rigorous interaction flow analysis

to ensure that only the associated outputs update when an input changes.


Shiny makes it much simpler for R programmers to develop web applications by:

supplying a well-selected group of user interface (UI) methods

that provides the HTML, CSS, and JavaScript required for typical jobs


This implies that until you wish to move beyond the fundamentals that Shiny provides for you,

you don't need to be familiar with the specifics of HTML, CSS, or JavaScript.


Shiny enables you to:


  • Make dashboards that track crucial high-level performance


  • Switch to interactive apps that let users jump to the precise section of the results they have an interest in.


  • Use educational visualizations to explain complex models to a non-technical audience.

Who this course is for:

  • Data Analyst/Data Scientists who want to use R to showcase their analysis
  • Data Analyst/Data Scientists who don't have any knowledge of HTML, CSS and Javascript and want to build a web app
  • Students/Researchers
  • Beginner R Programmers