Purdue University is offering a free online course on Introduction to R for Data Science. This course is relevant to learners who are interested in analyzing data that is pervasive across disciplines. The course serves as an introduction to the R software.
In this course, you will learn how to use the R platform to manage data. Through this course, you will utilize basic data structures such as data frames, strings, dates, lists, etc. This course will start on February 25, 2019.
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( votes)Course At Glance
Length: 4 weeks
Effort: 4 hours/week
Subject: Data Science
Institution: Purdue University and Future learn
Languages: English
Price: Free
Certificate Available: Yes
Session: February 25, 2019
Providers’ Details
Purdue University is a vast laboratory for discovery. The university is known not only for science, technology, engineering, and math programs, but also for our imagination, ingenuity, and innovation. It’s a place where those who seek an education come to make their ideas real — especially when those transformative discoveries lead to scientific, technological, social, or humanitarian impact.
About This Course
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.
Why Take This Course?
This is a free online course. Applicants can get a verified certificate.
Learning Outcomes
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
Requirements
Learners are expected to download, install, and use the R platform. Prior knowledge or experience with the R software is not necessary.
Instructors
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.
How To Join This Course
- Go to the course website link
- Sign Up At FutureLearn
- Select a course and Join
- Once a course has started, applicant will be able to access the course material
- After the start date, students will be able to access the course by following the Go To Course link on My Courses page.
- Applicants can buy, to show that they have completed a FutureLearn course.
- On some FutureLearn courses, learners will be able to pay to take an exam to qualify for a Statement of Attainment. (These are university-branded, printed certificates that provide proof of learning on the course topic(s)).
