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
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
