Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or javascript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Martin John Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.

• Introduction
• 1. Introducing Shiny
• 2. Single and Split-File Shiny Apps
• 3. Shiny Apps 101
• 4. Data Tables in Shiny
• 5. Getting Data into Your Shiny Apps
• 6. Data-Driven Controls
• 7. Allow Users to Upload and Download Data
• 8. Problem-Solving in Shiny Apps
• 9. Making Shiny Apps Beautiful
• 10. Deploying Shiny Apps
• Conclusion