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 organization.
When it comes to generating value for the organization with data science projects, many data scientists face a key problem in the deployment of these projects. R Shiny is a package in R that solves this deployment problem by creating easy-to-use web applications in R.
In this course, Data Analysis with Shiny: R Playbook, you will learn foundational knowledge of the R Shiny package in R programming.
First, you will learn the background of R Shiny’s purpose in solving the deployment obstacle in data science.
Next, you will discover how R Shiny uses reactive environments and simple R elements to create a seamless app.
Finally, you will explore how to deploy a Shiny app into a cloud hosted site on Shinyapps.io.
When you are finished with this course, you will have the skills and knowledge of R Shiny needed to deploy a data science project into the organization.
Software required: R programming and R Studio
Course Overview Hi everyone. My name is Jacey Heuer, and welcome to my course, Data Analysis with R Shiny: the R Playbook. I'm a data scientist in the retail industry with a background in the energy industry and financial services. When it comes to generating value for the organization with data science projects, many data scientists face a key problem in the deployment of these projects. R-Shiny is a package in R that solves this deployment problem faced by many organizations by creating easy-to-use web applications in R. In this course, we're going to cover many of the brilliant features of R Shiny. In this course, we'll discuss obstacles faced by organizations in the deployment of data science projects. We'll demonstrate the basic components of a Shiny app. We'll spend some time building interactive visuals in R Shiny. And we will walk through some of the ways to actually deploy the shiny app into the organization. By the end of this course, you'll have a great foundation in how R can be used to help deliver a data science project to the organization. Before beginning this course, you should be familiar with R programming and R Studio. I hope you are excited to join me on this journey to learn Data Analysis with R Shiny: the R Playbook at Pluralsight.