Skip to main content
HomeR

Track

Shiny Fundamentals in R

Learn how to use Shiny, a popular R package, to build highly interactive web applications and share your analyses as dashboards and visualizations.
Start Track for Free

Included withPremium or Teams

RReporting16 hours2,058

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Track Description

Shiny Fundamentals in R

Unlock the Power of Interactive Web Apps with Shiny

Discover how to create dynamic, interactive web applications using only R and the powerful Shiny package. In this hands-on Track, you'll learn to build and customize attractive user interfaces, connect them to R's extensive data analysis capabilities, and deploy your apps for others to use. No prior web development experience is required.

Transform Your Data into Engaging Visualizations

Bring your data to life with Shiny's wide range of built-in UI components and visualization options. You'll work with real-world datasets like Gapminder, Star Wars, and NASA to create:
  • Interactive plots and charts that allow users to explore data
  • Word clouds to represent text data in a visually appealing way
  • Customizable dashboards to display key metrics and insights
Through guided exercises and case studies, you'll gain practical experience in designing intuitive, user-friendly interfaces that encourage data exploration and discovery.

Empower Your Organization with Data-Driven Apps

Learn how to leverage Shiny's potential to streamline data analysis workflows and enable stakeholders to interact with data directly. By building apps that non-technical users can navigate easily, you'll facilitate data-driven decision making across your organization. You'll learn to create self-service analytics tools for business users, automate repetitive data processing tasks, and share reproducible analysis pipelines with colleagues. Additionally, you'll develop skills to communicate insights effectively to diverse audiences, ensuring that data remains accessible and actionable.

Master Shiny Development Best Practices

Throughout the Track, you'll adopt industry best practices for Shiny app development, ensuring your code is efficient, maintainable, and scalable. You'll learn to:
  • Structure your app's UI and server components for optimal performance
  • Implement effective error handling and user input validation
  • Create reusable modules to keep your code DRY (Don't Repeat Yourself)
  • Deploy your apps securely to a Shiny server or hosting platform
By the end of this Track, you'll have the skills and confidence to tackle real-world Shiny projects and enhance your data science workflow.

Unlock New Career Opportunities

Proficiency in Shiny is a highly sought-after skill in today's data-driven job market. Whether you're a data analyst, data scientist, or researcher, adding interactive web app development to your toolkit will make you a more versatile and valuable team member. Showcase your newly acquired skills with a portfolio of impressive Shiny apps you've built throughout this Track.

Prerequisites

There are no prerequisites for this track
  • Course

    1

    Building Web Applications with Shiny in R

    Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

  • Course

    Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Shiny Fundamentals in R
4 Courses
Track
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll now

FAQs

Join over 16 million learners and start Shiny Fundamentals in R today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.