Course

Introduction to Interactive Web Applications in Shiny

In this course, you’ll learn how to create an interactive web application with the Shiny package.

Enroll for free

Part of the Data Analyst (R) path.

4.8 (359 reviews)
1,381 learners enrolled in this course.
  • Intermediate friendly
  • 2 hours
  • Self paced
  • 5 lessons
  • 1 project
Jessica Ko

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing than watching videos and it made me want to keep learning.”

Jessica Ko

Machine Learning Engineer @Twitter

Introduction to Interactive Web Applications in Shiny

Enroll For Free

Course overview

While notebooks are great for sharing data work, they’re not very user-friendly for viewers without programming skills. With the popular Shiny package, we can showcase our data work in a more attractive and accessible way by building interactive, data-based dashboards and projects for the web!
In this course, you’ll learn the fundamentals of working with Shiny. Then you’ll explore more complex topics such as learning about programming server logic for Shiny and programming the UI for your interactive dashboards. You’ll also learn various ways to customize the design of elements you build in Shiny. Finally, you’ll learn how to get your apps online and how to share them.
Best of all, you’ll learn by doing – you’ll practice and get feedback directly in the browser. At the end of the course, you will complete a guided project that asks you to build a portfolio website for yourself using Shiny!

Key skills

  • Reading the structure of a Shiny app
  • Setting up a Shiny server and building apps
  • Programming a UI to make interactive web dashboards in R
  • Building a web-based portfolio site for your data work

Course outline

Introduction to Interactive Web Applications in Shiny [5 lessons]

Introduction To Shiny 1h

Lesson Objectives
  • Define the Shiny package
  • Identify how R programming is different in the shiny package
  • Plan a basic Shiny app

Programming the User Interface 1h

Lesson Objectives
  • Plan a Shiny project
  • Create an informative feedback loop when coding a Shiny app
  • Choose the appropriate inputs for your app

Programming Server Logic in Shiny 1h

Lesson Objectives
  • Incorporate Shiny input into the server logic
  • Identify the best method to display the output
  • Identify the error outputs in Shiny

Topics for Taking Shiny Further 1h

Lesson Objectives
  • Incorporate a tab system into your Shiny app
  • Incorporate custom CSS into an app
  • Deploy your Shiny app

Guided Project: Creating a Project Portfolio 1h

Lesson Objectives
  • Create a Shiny app to showcase your guided projects

Projects in this course

Creating a Project Portfolio

For this project, you’ll step into the role of a data analyst building an interactive portfolio to showcase your R programming and data skills to potential employers using Shiny.

View Project

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Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

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Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

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Aaron

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessi

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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