Building Interactive Shiny Web Apps with R Programming

Building Interactive Shiny Web Apps with R Programming, available at $54.99, has an average rating of 4.3, with 30 lectures, 3 quizzes, based on 13 reviews, and has 1104 subscribers.

You will learn about 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. This course is ideal for individuals who are Data Analyst/Data Scientists who want to use R to showcase their analysis or Data Analyst/Data Scientists who dont have any knowledge of HTML, CSS and Javascript and want to build a web app or Students/Researchers or Beginner R Programmers It is particularly useful for Data Analyst/Data Scientists who want to use R to showcase their analysis or Data Analyst/Data Scientists who dont have any knowledge of HTML, CSS and Javascript and want to build a web app or Students/Researchers or Beginner R Programmers.

Enroll now: Building Interactive Shiny Web Apps with R Programming

Summary

Title: Building Interactive Shiny Web Apps with R Programming

Price: $54.99

Average Rating: 4.3

Number of Lectures: 30

Number of Quizzes: 3

Number of Published Lectures: 30

Number of Published Quizzes: 3

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

Data Analyst/Data Scientists who want to use R to showcase their analysis

Data Analyst/Data Scientists who dont have any knowledge of HTML, CSS and Javascript and want to build a web app

Students/Researchers

Beginner R Programmers

Target Audiences

Data Analyst/Data Scientists who want to use R to showcase their analysis

Data Analyst/Data Scientists who dont have any knowledge of HTML, CSS and Javascript and want to build a web app

Students/Researchers

Beginner R Programmers

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.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Course Overview

Lecture 2: Installing and Loading Shiny

Chapter 2: Building Your First Web App

Lecture 1: Section Overview

Lecture 2: Setting up the Shiny App Directory

Lecture 3: User Interface

Lecture 4: Server Side

Lecture 5: Reactive Expressions

Chapter 3: Input Functions

Lecture 1: Section Overview

Lecture 2: Text Inputs

Lecture 3: Numeric Inputs

Lecture 4: Date Inputs

Lecture 5: Limited Choices Inputs

Lecture 6: File and Action Button Inputs

Lecture 7: Exercise

Lecture 8: Solution

Chapter 4: Output Functions

Lecture 1: Section Overview

Lecture 2: textOutput() and renderText()

Lecture 3: verbatimTextOutput() and renderPrint()

Lecture 4: plotOutput() and renderPlot(), tableOutput() and renderTable()

Chapter 5: BMI Calculator

Lecture 1: Section Overview

Lecture 2: BMI User Interface

Lecture 3: BMI Function

Lecture 4: BMI Server Side

Chapter 6: IMDB Movie Explorer

Lecture 1: Section Overview

Lecture 2: IMDB Movie Dataset

Lecture 3: Page Setup

Lecture 4: Sidebar and Main Panel

Lecture 5: Filtering with dplyr package

Lecture 6: Movie Explorer Server Side

Chapter 7: Publishing Your App

Lecture 1: Publishing Your App

Instructors

Ridwan Suleiman Adejumo
Data Scientist and Biostatistician

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 6 votes

5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!