In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40% and an increasing number of organizations are using it in their day-to-day activities. Leverage the power of R by completing this free R online course today!
Chapter One: learn how to use the console as a calculator and how to assign variables
Chapter Two: Learn how to create vectors in R, name them, select elements from them and compare different vectors.
Chapter Three: Learn how to work with matrices in R
Chapter Four: Learn how to create, subset and compare matrices.
Chapter Five: See how to create a data frame, select interesting parts of a data frame and order a data frame according to certain variables
Chapter Six: This final chapter will teach you how to create, name and subset these lists
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.
Antonio Serranopartially completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
I took the course "Writing Functions in R" at DataCamp. It was pretty good and I was very satisfied with the contents. The teachers were both excelent.
But problems came when I tried to cancel my subscription. First I did it from the account settings and apparently was all right. End of story. But a few months later I unpleseantly found out that my subscription had been automatically reactivated!! I wrote an email to the DataCamp support team. They replied to me arguing that I had been to select the option "Forever" within the "Pause subscription" menu.
So, if you do not select “forever” in that hide option within the account settings–whose existence you could not know beforehand–, your account automatically reactivates. It is definitely a tricky ugly ruse to force the customer to pay. Unbelievable and unaccpetable. Very disappointing.
Jeff Potoskicompleted this course and found the course difficulty to be easy.
This one is fine but I would not recommend next courses. I've canceled my subscription. Difficulty level seems to be not too consistent and some of the exercises are "out of context" without little of explanation of practical uses. I would also appreciate more videos.
Hands down the best way to learn R. Extremely informative and clearly written lessons that provide the right balance of instruction and challenge. I would recommend DataCamp (and have) to anyone looking to learn the functional skills for a career in data science.
Course was good but after i cancelled my membership they reactivated it 3 months later and charged me. I think they reactivate cancelled memberships as standard practice, easy for them if you used paypal.
Rodolphe Lampecompleted this course, spending 2 hours a week on it and found the course difficulty to be very easy.
This course is very well designed. You alternate between small videos (3mins) and small exercises through an interactive console. The teachers are experts in their fields and the video and audio are professional (compared to many other courses).
I truly enjoy Datacamp, I use it quite often.
To be honest, I post this advice because I received a mail from Datacamp asking me to do it, probably spotting that I'm an happy user. But I have nothing to win about it so this post is honest and I hope that anyone looking to learn R will follow this course, it's a good choice.
Datacamp classes give you a really nice walk through of the concepts with coding examples in the language with talks in between sections that provide a clear overview of the topic.
You're not going to be an expert after taking a section but will know where to look and also build on familiarity with the language. Much better than just reading about code in a textbook or taking on a huge project with no idea where to start.