Online course

Introduction to R for Data Science

Discover big data: work with airline data to learn the fundamentals of the R platform.

Introduction to R for Data Science

Work with airline data to learn the fundamentals of the R platform.

We live in a data driven world. So how can we make the most of it? Have you ever wondered how data-driven decisions are made?

This course will use airline data to demonstrate key concepts involved in the analysis of big data. In this course you will learn how to use the R platform to manage data. The course serves as an introduction to the R software. It lays the foundation for anyone to begin studying data science and its applications, or to prepare learners to take more advanced courses related to data science, such as machine learning and computational statistics.

What topics will you cover?

  • Download, install, and use the R platform
  • Import data into R and visualize data
  • Use vectors and vectorized functions, including some of the tapply functions
  • Manipulate data into desired formats, including cleaning and verifying data
  • Predict business performance
  • Make data-driven decisions about your industry

When would you like to start?

  • Date to be announced
Add to Wishlist to be emailed when new dates are announced

What will you achieve?

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

  • Perform an import of data into R
  • Utilize vectors and vectorized functions, including some of the apply functions
  • Utilize basic data structures such as data frames, strings, dates, lists, etc.

Who is the course for?

This course is for anyone who is interested in discovering more about data. Beginners in using R are welcome. Prior experience is not required.

What software or tools do you need?

You will need to download, install, and use the R platform. A desktop or laptop computer is also needed to take this course as opposed to a mobile device.

What do people say about this course?

"I can't say enough about how much this course has been such an eye-opener in my statistical field. Great work and appreciation to Purdue University as well as FutureLearn on availing this course, I really hope to get more soon. Also to Dr Mark Ward, I would love to pursue further studies some day soon. Many thanks.

Andrew Safari

Who will you learn with?

Mark Daniel Ward

Mark is an Associate Professor, and Undergraduate Chair at Department of Statistics, Purdue University, and Associate Director for the NSF Center for Science of Information.

Yucong Zhang

I am a graduate student in the Department of Statistics at Purdue University. Currently, I am helping coordinate the course: Introduction to R for Data Science.

Who developed the course?

One of the four best public universities in the US, Purdue delivers an engaging learning experience and a world-class degree.

The Center for Science of Information is a National Science Foundation Science & Technology Center advancing data to information to actionable knowledge through research and educational resources.

Learners collage mobile
Join this course


  • Access to this course for 6 weeks
  • Includes any articles, videos, peer reviews and quizzes


  • Unlimited access to this course
  • Includes any articles, videos, peer reviews and quizzes
  • Certificate of Achievement to prove your success when you're eligible
  • Download and print your Certificate of Achievement anytime