If you have decided to learn R as your data science programming language, you have made an excellent decision!
R is the most widely used tool for statistical programming. It is powerful, versatile and easy to use. It is the first choice for thousands of data analysts working in both companies and academia. This course will help you master the basics of R in a short time, as a first step to become a skilled R data scientist.
The course is meant for absolute beginners, so you don t have to know anything about R before starting. (You don t even have to have the R program on your computer; I will show you how to install it.) But after graduating this course you will have the most important R programming skills and you will be able to further develop these skills, by practicing, starting from what you will have learned in the course.
This course contains about 100 video lectures in nine sections.
In the first section of this course you will get started with R: you will install the program (in case you didn t do it already), you will familiarize with the working interface in R Studio and you will learn some basic technical stuff like installing and activating packages or setting the working directory. Moreover, you will learn how to perform simple operations in R and how to work with variables.
Instructor Details
Courses : 2
Specification: R Programming For Absolute Beginners
|
16 reviews for R Programming For Absolute Beginners
Add a review Cancel reply
This site uses Akismet to reduce spam. Learn how your comment data is processed.
Price | $12.99 |
---|---|
Provider | |
Duration | 9.5 hours |
Year | 2017 |
Level | Beginner |
Language | English |
Certificate | Yes |
Quizzes | No |
$39.99 $12.99
Stacy Cochran –
This course, although rather long, was very thorough. After my completing this course, I really feel like I have a grasp on the R programming language or at least as if I covered all of the topics. I took my time going through the course and went side by side with the instructor on my computer in R Studio and entered the code as the instructor entered it on his machine. I would recommend this course to anyone wanting to cover the fundamentals of the R programming language and R Studio environment.
Gabriela Balf Soran, MD, MPH –
I like the pace, the excellent organization, the teacher’s poise as he takes you from very simple to more complex issues
Solomon Patray –
It s my assessment
Karyna Gogunska –
Professor’s pronunciation is dissapointing. Often hard to understand what is it he saying even with subtitles. He makes lexical mistakes, confuses words and it is not easy to predict what he means (have to stop the lecture and try to figure). Professor often repeatedly explains very obvious operations and refrains to explain some tricky code results (once he has admited that he does not have an explanation why function throws a warning. too bad). Code practice tasks are primitive.
Jordan Parker –
Hard to understand professor
Sean Downey –
I am happy so far but I wish the instructor spoke better English. I am even using the closed captioning and he is tough to understand.
Parvathi raja Chithirai Pandian –
this Module is so for the beginners and good to start with.
Shivpoojan Verma –
Amazing video, easy to learn. Thank you so much!
Zahrasadat Alavikakhki –
till now , yes
Raghav Gaba –
the captions need to be more accurate.
Loredana Manushaqa –
he s really good at explainig. I m enjoying it.
Chirantan Lonkar –
nice, engaging content
Erhunmwunse Ohanmu –
some videos were blur in the factor section
Dewashish Kaushik –
Yy
Erastus Olonde Amayo –
So far so good
Abhishek –
Yes, it’s a good match for me