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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. 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.

On this course you will learn how to use the R platform to manage data. The course serves are an introduction to the R software and lays the foundation for anyone who would like to begin studying data science and its applications, or anyone who would like to take more advanced courses related to data science, such as machine learning and computational statistics.

This course is for anyone wanting to discover more about data, beginners in using R are welcome, you don’t need any prior experience.

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.

1 Student
review
Cost Free Online Course (Audit)
Subject Data Science
Institution Purdue University
Provider FutureLearn
Language English
Certificates $49 Certificate Available
Hours 4 hours a week
Calendar 4 weeks long
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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

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3 months 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..
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