R Programming A-Z™: R For Data Science

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. The Udemy course “R Programming A-Z™: R For Data Science With Real Exercises” is different! This course is truly step-by-step. Every new tutorial builds on what has already been learned and moves 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!

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

In this course, you’ll learn to program in R at a good level, how to use R Studio, and the core principles of programming. You’ll learn how to create vectors and variables, and about integer, double, logical, character and other types in R. You’ll also learn how to create a while() loop and a for() loop, how to build and use matrices, the matrix() function, learn rbind() and cbind(), and how to install packages in R. You’ll practice working with statistical data, financial data, and sports data in R.

The course comprises 79 lectures organized into the following sections:

Hit The Ground Running
Core Programming Principles
Fundamentals of R
Matrices
Data Frames
Advanced Visualization With GGPlot2
Homework Solutions
Bonus Tutorials

Requirements

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

Summary of Course Main Features

Instructors:
- Kirill Eremenko – Data Scientist
- SuperDataScience Team – Helping Data Scientists Succeed
On-demand video: 10.5 hours
Articles: 3
Includes
- 30-Day Money-Back Guarantee
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion