R programming, a powerful and versatile language for statistical computing and data analysis, has gained immense popularity among data scientists, statisticians, and analysts. Its open-source nature, extensive library support, and vibrant community make it an ideal choice for those diving into the world of data science.
*Introduction to R Programming:*
R, developed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, is designed specifically for data analysis and statistical computing. Its syntax is intuitive, making it accessible to beginners while providing advanced capabilities for seasoned professionals.
*Ineuron's R Programming Courses:*
For those seeking structured learning experiences, Ineuron offers comprehensive R programming courses. These courses cover everything from the basics to advanced topics, ensuring that learners acquire a solid foundation in R.
*Handwritten Notes:*
As a valuable supplement to the courses, handwritten notes are available for learners.
These notes serve as a quick reference, covering essential concepts and key snippets.
*Where to Find the Handwritten Notes:*
To access the handwritten notes for the Ineuron R programming courses, simply follow the provided link below this article. These notes encapsulate the wisdom shared during the courses, making them a valuable resource for reinforcing your understanding of R programming.
Note- If you find any difficulties to understand the notes then simply comment on the post. We will try to resolve your problem as soon as possible.
Reviewed by Nitesh Kumar Khichi
on
November 22, 2023
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