Data Structures in R

This is the second course in our Data Analyst in R path. In it, you'll build on the R programming skills you learned in the first course as you start to work with some of the most common data structures in R: vectors, matrices, lists, and dataframes. 

As you learn these new R programming skills, you'll be writing your own code to practice them right in your browser window. And you’ll learn all of this while working with real-world data, much as you would for a real data science project.

At the end of the course, you'll be ready to dig into your first real data science project: an analysis of COVID-19 virus trends. Our guided projects will challenge you to synthesize and apply everything you've learned while still providing enough direction that you know where to go!

When you’re done with this course, you will be confident working with these common data structures in R, and you will have your first completed data analysis project.

By the end of this course, you'll be able to:

  • Work with vectors, matrices, lists, and Dataframes in R.
  • Understand why these data structures are used.
  • Build your first data science project using R.

Learn by coding!

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Work with Data Structures in R

Vectors in R

Learn to generate, index, modify, and perform operations with vectors in R.

Matrices in R

Learn to create, index, modify, and perform operations with matrices in R.

Lists in R

Learn to generate, index, modify, and combine lists with R.

Dataframes in R

Learn how to manipulate, filter, and sort Dataframes using R.

Guided Project: Investigating Covid-19 Virus Trends

Analyze data about the global coronavirus pandemic and build a data analysis project of your own.