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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
This Course Includes
udemy
4.6 (54K reviews )
10.5 total hours 
english
Online - Self Paced
course
Udemy
About R Programming A-Z™: R For Data Science With Real Exercises!
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
What You Will Learn?
- Learn to program in R at a good level.
- 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.
- Learn how to customize R studio to suit your preferences.
- Understand the Law of Large Numbers.
- Understand the Normal distribution.
- Practice working with statistical data in R.
- Practice working with financial data in R.
- Practice working with sports data in R.