Shiny Courses and Certifications

Publishing Visualizations in R with Shiny and flexdashboard

63 ratings at Coursera

Learn to create interactive data visualizations using Shiny and flexdashboard in R with this 3-week course from Johns Hopkins University. Prior experience with ggplot2 required.

• Coursera
• 11 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

R Shiny Interactive Web Apps - Next Level Data Visualization

1376 ratings at Udemy

Learn how to use R and Shiny to create compelling data visualizations and how to share them online.

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

RA: Supply Chain Applications with R & Shiny: Inventory.

38 ratings at Udemy

Learn R & Shiny, Make A cloud based Inventory Application from Scratch! Take decisions Real time.

• Udemy
• 18 hours
• On-Demand
• Paid Course

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.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Case Studies: Building Web Applications with Shiny in R

Enhance your Shiny skills with this 4-hour course, building practical web applications for data exploration, customizable plotting, and word cloud generation. Offered by a renowned university.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Building Data Apps with R and Shiny: Essential Training

90 ratings at LinkedIn Learning

Learn how to develop data-driven web apps using the R language and Shiny.

• LinkedIn Learning
• 2-3 hours
• On-Demand
• Free Trial Available

Creating Interactive Presentations with Shiny and R

56 ratings at LinkedIn Learning

Make the results of big data analysis more compelling and clear. Learn how to create interactive presentations and dashboards with RStudio and Shiny.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Building Your First R Shiny Application

16 ratings at Pluralsight

Shiny is a tool that helps you turn your R code into professional, interactive web applications. This course will teach you how to build a Shiny app from the ground up.

• Pluralsight
• 1 hour 28 minutes
• On-Demand
• Free Trial Available

Data Analysis with Shiny: R Playbook

R Shiny is the answer to a data scientist’s difficulty in deploying their projects to their organization. In this course, you will learn how to use the Shiny package in R to develop and deploy a data science project that may be consumed by the organizati…

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Data Professor

R Shiny Web Application

Learn to build interactive web applications using R Shiny library with Data Professor's video collection. Includes creating a BMI calculator and deploying apps to Heroku.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

Learn to build interactive data-driven web apps using R Shiny with this 1-2 hour tutorial. Includes machine learning and app deployment to Heroku.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Online Course

Data Professor

Web Apps in R - Building Your First Web Application in R - Shiny Tutorial

"Data Professor's short tutorial on building your first data-driven web application using R and the Shiny package, with practical examples and interactive learning."

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Bryan Cafferky

Develop Custom Web Dashboards in R with Shiny

Learn to create web-based data visualization dashboards using the R package Shiny with Bryan Cafferky. Less than 1-hour workload.

• YouTube
• 29 minutes
• On-Demand
• Free Online Course

Using Shiny to Plot Differential Gene Expression

44 ratings at Coursera

Learn to create a Shiny app for plotting gene expression data with Coursera Project Network. The course covers data processing and user feedback collection.

• Coursera
• 2 hours 27 minutes
• On-Demand
• Paid Course

Crea tus dashboards y aplicaciones interactivas con R Shiny

Learn to create interactive applications with R Shiny in this 1-hour, project-based course from Coursera Project Network. Prior knowledge of R is beneficial.

• Coursera
• 2-3 hours
• On-Demand
• Paid Course