RShiny for Everyone (edX)

RShiny for Everyone (edX)
Course Auditing
Categories
Effort
Certification
Languages
Experience with R and RStudio.
Misc

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

RShiny for Everyone (edX)
Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

If you are a beginner level data professional, a student, a researcher, an academic marketing analyst, business and data analyst, or financial analyst, this course is for you.

This four week course will give you a foundation for making and deploying Shiny applications. Along the way you will learn about user interaction (UI) controls, persistent data storage using google sheets, customizing your application with CSS and deployment through shinyapps.io. You will create your own unique application(s) that you can share with friends, colleagues, and potential employers.

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


What you'll learn

- Structuring an application using shinydashboard

- Creating interactive visualizations, maps, and specific UI components

- Storing data using the Google Sheets API


Syllabus


This course is meant to teach the basics of building an app using RShiny. It presents a general introduction to the capabilities of RShiny with a particular focus on "learning by doing." At the end of each week of instruction, you'll complete a "wrap-up exercise" and quiz that reinforce the techniques you've learned.


Week 1

- Getting Set Up

- Using R Studio IDE for Shiny

- Basic UI

- Client Side vs Server Side Components


Week 2

- Server Side UI

- Leaflet Maps

- Server Side Outputs

- Buttons, Modal Viewers and Observe Events


Week 3

- Working with Data

- The Reactive and Browser Functions

- Customizing Your App with consideration of CSS Rules and Custom Skins

- Deploying Your Application!


Week 4

- Setting Things Up - Where to Begin

- Starting a New Project

- Filters for Interactivity

- Maps and Journals

- Final Projects!



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
199.00 EUR
Experience with R and RStudio.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.