Course overview

This is the third course in our Data Analyst in R path. In it, you’ll build on the R programming skills you learned in the first two courses as you start perform more complicated operations in R.

In this course, you’ll learn about control flow (including if-else statements) and conditionals. Then, you’ll move into learning about functions and functional programming.

You’ll also learn about iteration, when and why you might choose iteration over vectorization, and how to write for loops and while loops in R.

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 start working on a two-part project that will walk you through building an efficient, reproducible data analysis workflow using R and R Studio.

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

  • Learn about control flow, iteration, and functional programming in R.
  • Write if-else statements, for and while loops, and much more.
  • Start building a more in-depth data analysis project workflow using R.

Key skills

Course outline

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Projects in this course

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