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RShiny: Build Interactive Data Applications

This course is part of Web App Development for Data Scientists.

This practical course teaches you how to build interactive data-driven web applications using R Shiny. You'll develop skills to create engaging visualizations, implement user controls, and deploy applications professionally. Through hands-on projects, you'll learn to build interactive maps, biodiversity calculators, and data visualization tools. The course covers UI design, data storage with Google Sheets, CSS customization, and deployment via shinyapps.io, making it ideal for data professionals, researchers, and analysts seeking to enhance their data presentation capabilities.

Instructors:

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RShiny: Build Interactive Data Applications

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

20,898

Audit For Free

What you'll learn

  • Create interactive data-driven web applications using R Shiny

  • Develop dynamic visualizations including maps, charts, and interactive elements

  • Implement user interface controls and interactive features

  • Integrate external data sources using Google Sheets API

  • Customize application appearance using CSS

  • Deploy and share applications through shinyapps.io

Skills you'll gain

R Programming
Shiny Framework
Web Development
Data Visualization
UI Design
CSS
API Integration
Interactive Applications

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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There are 4 modules in this course

The course provides a comprehensive introduction to building interactive web applications with R Shiny. Starting with basic setup and UI components, students progress to advanced features like server-side processing, interactive maps, and data visualization. The curriculum emphasizes practical application through hands-on exercises, covering essential topics such as user interface design, data management, CSS customization, and application deployment. Students learn to create professional-grade applications that can effectively communicate data insights through interactive visualizations and user-friendly interfaces.

Getting Set Up

Module 1

Server Side Components

Module 2

Data and Customization

Module 3

Project Development

Module 4

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Web App Development for Data Scientists

Instructor

Owen Bezick
Owen Bezick

1 Course

Recent Graduate Turned Multifaceted Tech Professional and Educator at Davidson College

Owen Bezick, a recent graduate of Davidson College, exemplifies the rapid transition from student to professional in the tech industry while maintaining strong ties to academia. Graduating in December 2020 with a degree in Computer Science and a minor in Data Science, Bezick has quickly established himself in multiple roles. He currently works as a Solutions Engineer, applying his technical skills across various industries to solve complex problems. Simultaneously, Bezick contributes to high-profile research projects, working with the United States Olympic and Paralympic Committee and the College Crisis Initiative, demonstrating his ability to apply data science skills to diverse and impactful areas. His connection to Davidson College continues in an educational capacity, where he instructs a Professional Certificate program in "Web App Development for Data Scientists," consisting of two courses. This role allows Bezick to share his fresh, industry-relevant knowledge with current students, bridging the gap between academic learning and practical application in the rapidly evolving fields of web development and data science. Bezick's multifaceted career, spanning industry, research, and education, showcases the diverse opportunities available to recent graduates in computer science and data science fields.

RShiny: Build Interactive Data Applications

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

20,898

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.