FutureLearn: Introduction to R for Data Science

 with  Mark D. Ward

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

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

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.

1 Student
Cost Free Online Course (Audit)
Pace Upcoming
Subject Data Science
Institution Purdue University
Provider FutureLearn
Language English
Certificates $49 Certificate Available
Hours 4 hours a week
Calendar 4 weeks long
+ Add to My Courses
Learn Data Analysis

Learn to become a Data Analyst. Job offer guaranteed or get a full refund.

Become a Data Scientist

Learn Python & R at your own pace. Start now for free!

FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

1 review for FutureLearn's Introduction to R for Data Science

Write a review
3 weeks ago
Silveira Homero completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
Loved the course!

It is a smooth introduction to R with a practical twist.

The teacher makes it feel easy, although R requires some study, especially if one does not have a programming background..
Was this review helpful to you? YES | NO

Write a review

How would you rate this course? *
How much of the course did you finish? *
Create Review