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

Course overview

While notebooks are great for sharing data work, they’re not very user-friendly for viewers who don’t have 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

Guided Project: 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.

The Dataquest guarantee

Guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

Money

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

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.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Grow your career with
Dataquest.

98%
of learners recommend
Dataquest for career advancement
4.85
Dataquest rating
SwitchUp Best Bootcamps
$30k
Average salary boost
for learners who complete a path
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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