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Shiny Fundamentals in R

Updated 03/2026
Learn how to use Shiny, a popular R package, to build highly interactive web applications and share your analyses as dashboards and visualizations.
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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

    3

    Building Dashboards with shinydashboard

    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

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FAQs

Is this Track suitable for beginners?

Yes, this track is suitable for beginners. It provides guidance with real-world examples and you can spend as much or as little time as you like working through exercises and courses.

What is the programming language of this Track?

This track is programmed in R. Learners will become familiar with the basics of R programming as well as the popular R package Shiny.

Which jobs will benefit from this Track?

This track is designed to help users become proficient with Shiny, a popular R package. This skill is beneficial in a wide range of jobs, such as data analysts, data scientists, and web developers.

How will this Track prepare me for my career?

This track will provide learners with valuable domain-specific knowledge of Shiny, an important R package for creating interactive web applications. You will learn techniques to visualize raw data and communicate your findings to non-technical stakeholders.

How long does it take to complete this Track?

This track is self-paced and consists of several courses. On average, it can take about 16 hours to complete the whole track.

What's the difference between a skill track and a career track?

Skill tracks are designed to help users gain domain-specific expertise. Career tracks are designed to help users develop the skills needed to pursue a job or career in a specific field.

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