Expanded Library

Data Analysis with Shiny: R Playbook

by Jacey Heuer

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.

What you'll learn

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

My name is Jacey Heuer and I am a Data Scientist with many years of experience in the financial services, energy and retail industries. I hold a Masters of Business Administration and Masters of Business Analytics from Iowa State University. I also hold an undergrad degree in Business Administration and Finance. In data science, my areas of focus include machine learning, time series analysis, statistical inference and data translation. Data translation helps the decision makers in a business to... more

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