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About this path

R is a powerful programming language widely used for statistical computing. Its popularity is due, in part, to how useful it is at every stage of the data analysis process.

In this path, you’ll explore the basics of R, work through specialized data processing with strings and dates, and much more. R is in-demand, heavily supported by the community, exceptionally popular, and often associated with lucrative salaries.

  • Learn the basics of R programming at your own pace and from the comfort of your home.
  • Learn about packages and why they are essential in any data analysis process
  • Explore how to use and install RStudio to improve your data analysis workflow
  • LIdentify data structures such as vectors, lists, and DataFrames
  • Reveal how to repeat code efficiently with iteration

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How Our R Basics for Data Analysis Path Works

Data is everywhere. There are tremendous amounts of data in social media platforms, your favorite streaming services, banking, sales pipelines, emails—the list goes on. It’s the inescapable reality of the world today. However, all this data is useless without data analysis. Large datasets need cleaning, analysis, interpretation, and visualization. That’s why we created this path: to teach you the fundamentals of R for data analysis.

Here’s a quick glance at this skill path:

  • You’ll write real code with dozens of practice problems to validate and apply your skills.
  • At the end of each course, you’ll complete a guided project to reinforce your new knowledge and boost your interview-ready portfolio.
  • When you complete the course, you’ll receive a certificate that you can share with your professional network.
  • Once you master the fundamentals of R, you’ll be ready for more advanced courses.
  • Engage with our friendly community of R programmers, get feedback on your projects, and keep building your skills.

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