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

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5/5

4.6 (33,439 ratings)

181,568 students enrolled

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What you'll learn

1. Learn to program in R at a good level
2. Learn how to use R Studio
3. Learn the core principles of programming
4. Learn how to create vectors in R
5. Learn how to create variables
6. Learn about integer, double, logical, character and other types in R
7. Learn how to create a while() loop and a for() loop in R
8. Learn how to build and use matrices in R
9. Learn the matrix() function, learn rbind() and cbind()
10. Learn how to install packages in R
11. Learn how to customize R studio to suit your preferences
12. Understand the Law of Large Numbers
13. Understand the Normal distribution
14. Practice working with statistical data in R
15. Practice working with financial data in R
16. Practice working with sports data in R

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₹12,800

96% off

Discount 96% off

This course includes

- 10.5 hours on-demand video

- Full lifetime access

- Access on mobile and TV

- Certificate of Completion

Requirements

1. No prior knowledge or experience needed. Only a passion to be successful!

Description

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,
Sincerely,
Kirill Eremenko

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