Description
Course info
Level
Beginner
Updated
Jul 19, 2019
Duration
1h 18m
Description

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

About the author
About the author

My name is Jacey Heuer. I am a Data Scientist with experience in financial services, energy and retail industries. My focus is on machine learning, time series, and data translation.

More from the author
Section Introduction Transcripts
Section Introduction Transcripts

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.