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

Bestseller | Created by Kirill Eremenko, Ligency I Team, Ligency Team

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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.

What you'll 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