Building Your First R Analytics Solution
Offered By: Pluralsight
Course Description
Overview
In this course, you’ll see the entire workflow that data professionals use to produce their R analytics solutions.
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 3 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.
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 3 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.
Syllabus
- Course Overview 1min
- Setting up Your Computer to Use R 22mins
- Working with R Code in RStudio 31mins
- Organizing Your Work with RStudio Projects 26mins
- Communicating and Documenting Your Analysis with R Markdown 44mins
Taught by
Charlotte Wickham
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