Introduction to R for Data Science

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8/10 stars
based on  14 reviews
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Cost FREE , Add a Verified Certificate for $99
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Course Details

Cost

FREE,
Add a Verified Certificate for $99

Upcoming Schedule

  • Upcoming

Course Provider

edX online courses
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 tau...
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
23697 reviews

Course Description

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

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this course unique is th...

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

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

Enjoy!

Reviews 8/10 stars
14 Reviews for Introduction to R for Data Science

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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student

8/10 starsCompleted
2 years, 7 months ago
The material is good. There are a couple places where the instructor says in the video "we won't cover this to the advanced course," but then it comes up in the labs. Too many "cheesy" jokes by the instructor. I audited the course, so I decided not to take the final exam. I think a 4 hour final exam for a 10 hour course seems a bit excessive.
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Raghav S profile image
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Raghav S

10/10 starsCompleted
2 years, 8 months ago
Highly informative and interesting course useful for data scientist aspirants like me. I liked every aspect regarding the course. Its fun as well as interesting. Thank you Filip for your guidance. The only suggestion I have is that you could include more graphic functions ggplot functions such as geom_bar() and others not just hist() and plots(). Other than that I loved the course and thank you graciously for helping me clear the course and get my certification.
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Insatiated learner

8/10 starsCompleted
2 years, 8 months ago
Overall the course was helpful to get basic kick start in R. The presentation was great and the labs on the datacamp platform also worked well. Overall, a good introduction. It intensity level of the course can be increased a bit.
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Latifa Ouatahar profile image
Latifa Ouatahar profile image

Latifa Ouatahar

10/10 starsCompleted
2 years, 8 months ago
Very Helpful ..Thank you. This will certainly help me acheive the next step in data analisis, amd I am willing to do the intermediate level next...
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deepa sh profile image
deepa sh profile image

deepa sh

6/10 starsTaking Now
2 years, 9 months ago
Excellent.. Very Good Help improve our skills 1. Good course material and structured modules in each course 2. Helpful instructors even during the class / off-
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student

10/10 starsTaking Now
2 years, 9 months ago
Very clear and step-by-step introduction about R!! I was terrified when I took any other online courses about R programming. My background is biology and I always do bench work, no experience on computer language. Other online courses the pace was always too fast for me and I felt like I am so dumb... But this course totally inspired me and let me have motive to keep learning.
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Luis Felix A profile image
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Luis Felix A

1/10 starsTaking Now
2 years, 9 months ago
I think nothing of the course since I have no way to access it, there's no sing in or dashboard to my account. Sorry
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student

10/10 stars
2 years, 10 months ago
A simple but well done course. The quality of the lectures, slides and exercises is top notch. The depth of the information, especially in the latter modules on graphing, is a little on the lighter side. Also, I would have liked to learn how to import external data into data.frames. But otherwise, this is a great intro to R if you need to learn the basics. Thank you to DataCamp for providing this for free.
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Albert Roethel profile image
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Albert Roethel

10/10 starsCompleted
2 years, 10 months ago
Course was very nice, Sometimes it was hard to fully understand something, but it is programming. Console in which I had exercises was useful ald helpful (especially highlighing errors in code).
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Matt Alexander profile image
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Matt Alexander

9/10 starsCompleted
2 years, 10 months ago
I found the course very interesting as I'm a beginner. I can understand some of the critics here as it's not 100% perfect but it did provide me with the basics and has enabled me to use the tool in my daily activities.
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Dario Carpio profile image
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Dario Carpio

6/10 starsCompleted
2 years, 10 months ago
The course is good for beginners and sometimes it's very slow. If you're a programmer, don't take the course. But if you're not, it will be valuable.
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student

1/10 stars
2 years, 10 months ago
What a mess... I think this class would be fine for many, but absolute beginners with no prior programming experience will likely struggle with all the important material that is skipped (many terms are never discussed, nor defined). Don't look to this course for technical accuracy. Those with a technical background will be frustrated with the lack of (first principles) axiomatic rigor.
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student

10/10 starsCompleted
2 years, 10 months ago
Very good course for R novices. First you get to know the elements used in R, like vectors, factors, matrices, etc. and then you learn some basics like excluding, including and ordering data. The intuitive lab is really useful here. If you're new to R I'd definitely recommend using this course to get up to speed and learn the absolute basics.
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Himank Garg profile image
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Himank Garg

1/10 starsDropped
2 years, 10 months ago
This course seriously wasted a lot of my time and I didn't learn anything of value. Major problem was the way we weren't to allowed explore and take initiative in learning. It felt like corporate training, to just do what they want us to do like machines.
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