- Introduction to R Programming Courses
- 1. R Programming A-Z™: R For Data Science with Real Exercises by Udemy
- 2. R Programming – R Language for Absolute Beginners by Udemy
- 3. Data Science and Machine Learning Bootcamp with R by Udemy
- 4. R Programming for Statistics and Data Science by Udemy
- 5. R Programming: Advanced Analytics In R For Data Science by Udemy
- 6. R Basics – R Programming Language Introduction by Udemy (Free)
- 7. R Programming: Hands on R Programming for Beginners by Udemy (Free)
Introduction to R Programming Courses
In the realm of data analysis and visualization, R stands tall as a powerhouse programming language. Widely utilized across various fields, R offers a robust suite of tools tailored for manipulating, analyzing, and visualizing data with precision. Its versatility is showcased through interactive consoles and popular IDEs like RStudio, empowering users to craft and execute R code seamlessly. R handles diverse data types. With R, fundamental operations like arithmetic calculations and logical comparisons are effortlessly executed. What elevates R to unparalleled heights, however, is its expansive collection of packages and libraries, making it an indispensable tool for statistical modeling, machine learning, and the intricate realms of data science.
1. R Programming A-Z™: R For Data Science with Real Exercises by Udemy
This course lays out a comprehensive direct-to-learning R Programming from an essential level. You’ll pick up all the concepts clearly and rapidly. Over 256,165 members have as of now joined.
R Programming A-Z™: R For Data Science with Real Exercises
Click Here to Know more and Register to this course.
2. R Programming – R Language for Absolute Beginners by Udemy
This course provides a complete direct-to-learning R Programming foundation. You’ll grasp all of the topics quickly and clearly. There are now 10,278 members.
R Programming – R Language for Absolute Beginners
Click Here to Know more and Register to this course.
3. Data Science and Machine Learning Bootcamp with R by Udemy
This R Programming course is designed for beginners, providing a direct path to master essential concepts efficiently. With over 89,857 enrolled members, it ensures a swift and clear understanding, allowing learners to confidently begin their R Programming journey.
Data Science and Machine Learning Bootcamp with R
Click Here to Know more and Register to this course.
4. R Programming for Statistics and Data Science by Udemy
This course lays out a comprehensive direct-to-learning R Programming from an essential level. You’ll pick up all the concepts clearly and rapidly. Over 26,621 members have as of now joined.
R Programming for Statistics and Data Science
Click Here to Know more and Register to this course.
5. R Programming: Advanced Analytics In R For Data Science by Udemy
This course provides a clear and rapid path to mastering essential R Programming skills, with over 59,419 members already enrolled.
R Programming: Advanced Analytics In R For Data Science
Click Here to Know more and Register to this course.
6. R Basics – R Programming Language Introduction by Udemy (Free)
This course offers a comprehensive, straightforward approach to learning R Programming from the basics. Quickly grasp all concepts with over 208,220 members already enrolled.
R Basics – R Programming Language Introduction
Click Here to Know more and Register to this course.
7. R Programming: Hands on R Programming for Beginners by Udemy (Free)
This course offers a clear, rapid introduction to essential R Programming concepts, with 5,046 members already enrolled.
R Programming: Hands on R Programming for Beginners
Click Here to Know more and Register to this course.
FAQ’s
1: What is R programming?
A: R is a programming language and software environment specifically designed for statistical computing and graphics.
2: How can I install R?
A: You can download and install R from the official website (https://www.r-project.org/), which supports Windows, Mac, and Linux operating systems.
3: What are the basic data types in R?
A: R supports data types like numeric, character, logical, and factors. It also includes data structures such as vectors, matrices, arrays, lists, and data frames.
4: How can I visualize data in R?
A: R offers various libraries like ggplot2 for data visualization. With these, you can create plots, charts, and graphs to explore and present your data effectively.
5: Can I extend R’s functionality?
A: Yes, R has an active community developing and sharing packages. You can install additional packages to enhance R’s capabilities for specific tasks and analyses.
