Building Your First R Analytics Solution

In this course, you’ll see the entire workflow that data professionals use to produce their R analytics solutions.
Course info
Level
Beginner
Updated
Mar 23, 2020
Duration
2h 6m
Table of contents
Description
Course info
Level
Beginner
Updated
Mar 23, 2020
Duration
2h 6m
Description

You’ve been given the task of building your next analytics report in R. Your colleague has even shared some R code they think will help. But where do you start? You’re not even sure what to do with the .R file they shared. In this course, Building Your First R Analytics Solution, you’ll see the entire workflow that data professionals use to produce their R analytics solutions. First, you’ll start right at the beginning — setting up your own computer to run R code. Next, you’ll learn how to run, read, and write R code in RStudio. Finally, you'll discover how to organize your work with RStudio projects and how to communicate your work with R Markdown. By the end of the course, you’ll have not only produced a shareable report with R Markdown, you’ll have built your project so that anyone else can recreate the report too. You’ll be using the same tools and workflows as R professionals, and along the way, you’ll start building habits that ensure your analysis is organized, documented, and reproducible.

About the author
About the author

Charlotte is a Data Scientist and Educator, who teaches in the Statistics Department at Oregon State University as well as operating her own consulting and training business.

More from the author
Building Your First R Shiny Application
Beginner
1h 27m
Jun 29, 2020
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi, everyone. My name is Charlotte Wickham, and welcome to my course building your thirst are analytic solution. I'm an educator and freelance data scientist. Are is a powerful language for manipulating and analyzing data. And our studio is one of the most popular tools for working with our code. Mastering both is crucial delivery Jing Oz power to solve data analysis problems. In this course, we're going to walk through the complete process of developing an analytic solution in our with no prior experience required. Some of the major topics that we will cover include getting our in our studio installed, working with our code in our studio, organizing your work with our studio projects. Communicating and documenting your work with are marked down by the end of this course, you'll have built a project that imports data, summarizes it. It automatically generates a report and you'll have practiced the heavens and work flow of data professionals. From here, you should feel comfortable diving into our with courses on data manipulation, data visualization and our programming fundamentals. I hope you'll join me on this journey to learn our in our studio with the building your first our analytics solution course at plural site