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Online course

Introduction to R for Data Science

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. This course is relevant to learners who are interested in analyzing data that is pervasive across disciplines.

Have you ever wondered how data-driven decisions are made across airlines? This course will use airline data to demonstrate key concepts involved in the analysis of big data.

The emphasis of this course is on using the R platform to manage data. No prerequisites are necessary. Beginners in using R are welcome. The course serves are an introduction to the R software and lays the foundation for any learners who would like to begin studying data science and its applications.

The introductory material here prepares students to take more advanced courses related to data science, such as machine learning and computational statistics.

What topics will you cover?

  • Downloading, installing, and using the R platform, including R studio
  • Importing and visualizing data
  • Concepts from R, including vectors, functions, data frames, strings, dates, and lists
  • Transforming, cleaning, and verifying data
  • The suite of apply functions
  • Case study of ASA DataExpo 2009 “Airline on-time performance”

What will you achieve?

By the end of the course, you will be able to:

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

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

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?

Learners are expected to download, install, and use the R platform. Prior knowledge or experience with the R software is not necessary.

What software or tools do you need?

Learners are expected 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.

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.

Learners collage mobile
Join this course

Free

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

Upgrade - $94

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