R Shiny Interactive Web Apps - Next Level Data Visualization (Udemy.com)
Learn how to use R and Shiny to create compelling data visualizations and how to share them online.
Created by: R-Tutorials Training
Last updated July 2017
What you will learn
- generate advanced shiny web apps
- share apps over the internet or locally
- embed pdfs, videos, images and text in a web app
- create multi page shiny apps
- add focus and zooming tools to shiny apps
- generate shiny apps based on data tables
- use pre defined layouts for styling
- generate downloadable tables
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.1 out of 5higher than 3% of them
- Reviews1,684#104 of 462 by number of reviews
- Length2.9 hoursshorter than 83% of them
- Last updatedJuly 2017earlier than 98% of them
Course Description
R shiny allows you to present your data interactively – that means your app users can:
- Set filters and columns in tables
- Generate parameters for plots
- Zoom and focus on specific areas of plots
- Focus on selected portions of your data
- Provide or upload files, text and all sorts of data
- And much more
App users can do all of this without any R knowledge. You do the coding, your users get the info they are looking for!
In this course I will show you step by step how to master R Shiny. We will start out with the general shiny script – all scripts should have the same basic structure.
You will then learn how to make your app interactive by using input widgets. These features take user inputs which can be used to generate or modify the app content.
You will learn how to style your app for an appealing layout.
I will also show you how to use HTML tags to integrate or embed standard web content like youtube videos, pdfs, text, pictures and much more.
After that you will learn about advanced shiny apps that allow zooming and downloading
And you will learn how to integrate tables.
This course is not just pure theory. The last section is all about applying your new shiny skills. I prepared a course project which combines all the topics discussed in the course and more. This project is modeled after a real world financial app. You will get the project description and the raw data to test your skills.
Note that this course requires basic R skills. If you are totally new to R, check out some R intro material first and then revisit the course.
All the software downloads, add on packages as well as entry level hosting for shiny are totally free. I will show you what you need and where to get it. That includes hosting as well.
Take a look at shiny – your boss, colleagues, students, customers will be astonished what modern day data visualization can do.
Instructor Details
- 4.1 Rating
1,684 Reviews
R-Tutorials Training
R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 100,000+ students love it.
We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.
All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.
The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.
Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.
We are here to help you boost your career with analytics training – Just learn and enjoy.
More courses by R-Tutorials Training
R Basics - R Programming Language Introduction (2018)
4.6 (19,341 Reviews)
Provider: Udemy
Time: 4.2h
Free
Introduction to Time Series Analysis and Forecasting in R (2019)
4.3 (2,834 Reviews)
Provider: Udemy
Time: 8.6h
$10.99
Excel Charts - Excel Charts and Graphs Basic Training (2016)
4.3 (1,673 Reviews)
Provider: Udemy
Time: 2.8h
$12.99
Advanced Tableau - Level of Detail Expressions / LOD (2019)
4.7 (1,000 Reviews)
Provider: Udemy
Time: 6.2h
$12.99
Applied Time Series Analysis and Forecasting with R Projects (2018)
4.6 (843 Reviews)
Provider: Udemy
Time: 3.4h
$11.99
More Data Science courses
Master statistics & machine learning: intuition, math, code (2026)
4.9 (3,077 Reviews)
Provider: Udemy
Time: 38.3h
$124.99
Reviews
By Søren Brogaard Lolle on 2/22/2022
Quick and dirty, not so much fuss, gets around the essentials. The course is old though, I guess a lot has happened the last 5 years. Where is the mention of the shinydashboard? I would also have liked a lot to hear how to structure a large Shiny project, with several (layers of) tabs and lots of server-side calculations going on. Maybe it was time for some R-wizzard to make an updated version? I guess that would be some easy money made ;-)
By Xiangpan Li on 1/19/2022
At the very beginning, the instructor mentioned this course is not for New R User. However, after taking three sections, I feel they should say it is not for NEW Shiny User to learn how to use shiny. Lots of useful information is included, but not detailed. It is kind of high level introduction.
By John Maxwell on 1/13/2021
It was a good course with good examples and systematic ideas and concepts. The problem I had is that the course project seemed to try and incorporate everything covered in the course at once. Which is obviously the point of an applied example, but I would have preferred to break it up piece by piece and perhaps build the code for the example at the end of the various sections. Overall good value and helpful.
By Rizwan Alvi on 11/7/2020
It was great demonstrative session
By Amit Kumar on 8/25/2020
This course does not cover Basics. it is for people who have prior intermediatary level knowledge of R shiny .
By Abigail Dutton on 8/8/2020
I would prefer more interactivity and exercises the whole way through
By Yuan Huang on 8/6/2020
This course is clearly taught and the content is useful to master Shiny
By Steven R Currie on 8/1/2020
Great overview of Shiny. Nice examples.
By Cristián Andrés Vergara Fernández on 7/22/2020
Very good course. I really liked it. Deep and simple introduction to shiny app. I learned all I need to keep learning by myself. All the units were brief and helpful. The only reason I did not give 5 stars, it because it could have been a bit longer. But at the same time the course covers everything you need to start in a few hours.
By Pramod Naik on 7/18/2020
Buying this course is waste of money. This once we can learn from R documentation. It didn't reach my expectation.
By Craige Pedersen on 7/17/2020
For someone who just learned about Shiny R and wants to bang one out quickly this course is a good fit. It's covering all the critical info and isn't dwelling long on any topic that's isn't of interest to me.
By Cristin Andrs Vergara Fernndez on 7/7/2020
Very good course. I really liked it. Deep and simple introduction to shiny app. I learned all I need to keep learning by myself. All the units were brief and helpful. The only reason I did not give 5 stars, it because it could have been a bit longer. But at the same time the course covers everything you need to start in a few hours.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 82 / 100












