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 82 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
- Lectures: 82
- On-demand video: 10.5 hours
- Articles: 6
- Includes
- 30-Day Money-Back Guarantee
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Click the link below for details of any special offers on the price of this course
Visit the Course Page
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