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R Programming A-Z™: R For Data Science With Real Exercises!

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2
272,668 Students enrolled
4.61
54551 reviews
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5025

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can’t wait to see you in class,

What you will learn:

  • Learn how to use R Studio

  • Learn the core principles of programming

  • Learn how to create vectors in R

  • Learn how to create variables

  • Learn about integer, double, logical, character, and other types in R

  • Learn how to create a while() loop and a for() loop in R

  • Learn how to build and use matrices in R

  • Learn the matrix() function, learn rbind() and cbind()

  • Learn how to install packages in R

Sincerely,

Kirill Eremenko

Congratulations!! Don't forget your Prize :)
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video 11 hours
Lectures 5
Certificate of Completion

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Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed
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