Programming with R for Data Science

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6/10 stars
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Course Details

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FREE,
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edX online courses
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Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
23705 reviews

Course Description

This course is part of the Microsoft Professional Program Certificate in Data Science.

In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

In this course you will learn all you need to get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs. Plus, find out how to perform predictive analytics using R and how to create visualizations using the popular ggplot2 package.

Reviews 6/10 stars
2 Reviews for Programming with R for Data Science

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Danny M profile image
Danny M profile image

Danny M

8/10 starsCompleted
2 years, 9 months ago
As stated by another review, this course is very dense and fits in a lot of somewhat complex information in short modules. I would recommend you take the previous R course as part of the Microsoft Certificate program. Also, this course did tend to be unorganized with the structure and the order of the modules. I took this class as a part of the professional certificate program.
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Tamar Farber profile image
Tamar Farber profile image

Tamar Farber

2/10 starsCompleted
2 years, 10 months ago
Do not take this course unless you have to as part of a certificate program. There are much better alternatives for learning R. The course attempts to condense too much information into very short modules and does not take the time to lay the foundations. The labs and knowledge checks essentially ask you to copy and paste code into RGUI to see what works. This means that you can easily pass the quizzes and labs with only minimal understanding, so you don't actually learn anything. If you need to take the course as part of a program expect to go elsewhere to actually learn the material and rest assured that you will likely be able to pass the course since the assignments are much easier than the lectures and the exercises.
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