Introduction to R for Data Science
Work with airline data to learn the fundamentals of the R platform.
Duration
4 weeksWeekly study
4 hours
Introduction to R for Data Science
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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
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
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."
Who will you learn with?
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?
Purdue University
One of the four best public universities in the US, Purdue delivers an engaging learning experience and a world-class degree.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
Want to know more about learning on FutureLearn? Using FutureLearn
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