Introduction to R for Data Science Course - Purdue University

General

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Program Description

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

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 the 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?

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts.

  • Available now

What will you achieve?

By the end of the course, you‘ll be able to:

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

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 someday soon. Many thanks". Andrew Safari

Who will you learn with?

Mark Daniel Ward

Mark is an Associate Professor, and Undergraduate Chair at the 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 to coordinate the course: Introduction to R for Data Science.

Who developed the course?

Purdue University

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

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.

Join this course

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Unlimited
$259.99 for one year

Join free and you will get:

  • Access to this course for 6 weeks

Upgrade this course and you will get:

  • Access to this course for as long as it’s on FutureLearn
  • Access to this course’s tests as well as a print and digital Certificate of Achievement once you’re eligible

Buy Unlimited and you will get:

  • Access to this course, and hundreds of other FutureLearn short courses and tests for a year
  • A printable digital Certificate of Achievement on all short courses once you’re eligible
  • The freedom to keep access to any course you've achieved a digital Certificate of Achievement on, for as long as the course exists on FutureLearn
  • The flexibility to complete your choice of short courses in your own time within the year
Last updated Sep 2020

About the School

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