10 YouTube Channels to Learn R Programming (2024)

10 YouTube Channels to Learn R Programming (1)

Master R programming: Top 10 YouTube channels for beginners and pros

Embark on your R programming journey with our curated list of 10 top YouTube channels. From comprehensive tutorials to specialized insights, these expert-led channels cater to beginners and seasoned learners alike. Dive in and elevate your R skills!

1. Programming 101:

R Programming 101's YouTube channel features a comprehensive playlist titled "R Programming for Beginners," curated for novice learners. Managed by R Programming 101, the channel delivers clear and concise explanations alongside practical examples. The well-structured, beginner-friendly videos cover fundamental topics such as R installation, data importation, cleaning, and visualization, providing an invaluable step-by-step guide for newcomers to R programming.

DataCamp's YouTube channel presents the "R Tutorial – Learn R Programming" playlist, featuring 23 videos that comprehensively cover fundamental R programming concepts. Managed by DataCamp, a platform renowned for structured learning, the channel employs presentation-based teaching, ensuring effectiveness and accessibility for beginners. The playlist serves as a valuable, step-by-step guide covering data types, vectors, matrices, data frames, and graphics.

3. StatQuest with Josh Starmer:

StatQuest with Josh Starmer presents the "Statistics and Machine Learning in R" playlist, delving into R programming for statistics and machine learning. The engaging videos cover topics like PCA, Random Forests, Linear Regression, and Logistic Regression. Josh Starmer's humorous teaching style, coupled with animations, simplifies complex concepts, making this playlist a valuable resource for learners at all levels.

4. Machine Learning Plus – Selva:

The "R Tutorials for Non-Programmer Data scientists – Full Course" playlist by Machine Learning Plus – Selva is a comprehensive introduction to R programming for beginners. Covering fundamental topics such as basic math operations and data types, Selva's approach is particularly advantageous for those new to data science, establishing a solid R programming foundation.

5. Google for Developers:

Google for Developers is a channel committed to delivering comprehensive tutorials and insights on programming languages and developer tools, with a notable focus on R programming. The "Intro to R" playlist provides a series of tutorials covering both fundamental and advanced aspects of R, enhancing viewers' programming skills. The channel, managed by a team of experts, offers reliable and professionally-driven content for developers.

6. MarinStatsLectures-R Programming & Statistics:

MarinStatsLectures specializes in R programming and statistics, delivering a thorough learning experience for both beginners and those seeking advanced understanding. The tutorial playlist covers R basics, RStudio usage, and various statistical methods. Managed by Marin, an educator passionate about accessible and engaging teaching, the channel ensures a comprehensive educational resource.

7. thenewboston:

thenewboston stands as a renowned YouTube channel celebrated for its diverse programming and development tutorials, prominently featuring R programming in a comprehensive playlist. Founded on February 4, 2008, by Bucky Roberts, the channel serves as an invaluable resource, offering a thorough guide from R basics to advanced programming concepts for beginners and intermediate learners in the programming community.

8. Derek Banas:

Derek Banas' YouTube channel, established on August 12, 2008, is widely recognized for its diverse programming tutorials, featuring an extensive series on R programming. His tutorial provides a comprehensive guide to R, covering syntax, plotting, and statistical analysis. Renowned for its engaging teaching style and responsiveness to viewer requests, Banas' channel maintains high popularity and user engagement.

9. Edureka!:

Established on June 29, 2012, edureka! has evolved into a prominent online learning hub, specializing in programming and technology. The channel's "R Tutorial Videos" playlist, comprising 40 videos and garnering 485,901 views, serves as a comprehensive guide to understanding R programming fundamentals. With experienced instructors employing a structured approach, combining presentations with hands-on demonstrations, edureka! stands out as a valuable resource catering to learners at diverse proficiency levels.

10. Data Science Tutorials:

Commenced on November 1, 2015, Data Science Tutorials has distinguished itself by delivering targeted and pragmatic content in data science and programming, notably within R programming. The "R Programming Complete Tutorial" playlist, comprising 32 videos and totaling 21,514 views, caters to learners seeking succinct, hands-on demonstrations. The channel's practical approach, featuring brief, focused videos, proves ideal for busy learners requiring rapid comprehension of R Programming concepts.

Conclusion:

YouTube's R programming education abounds with resources from channels like DataCamp, StatQuest, and Data Science Tutorials. With structured learning, engaging tutorials, and concise practicality, these options create a vibrant ecosystem for mastering R efficiently.

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10 YouTube Channels to Learn R Programming (2024)

FAQs

10 YouTube Channels to Learn R Programming? ›

Yes. At Dataquest, we've had many learners start with no coding experience and go on to get jobs as data analysts, data scientists, and data engineers. R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up.

How can I learn R programming effectively? ›

Learn R in 8 Steps
  1. Should you learn R?
  2. Study Essential R Terminology.
  3. Understand how R is used.
  4. Download R & Find Essential Resources.
  5. Take R Courses with Pluralsight.
  6. Commit to Best Practices for R.
  7. Meet other developers & start some advanced tasks.
  8. Get a job with R programming.
Feb 1, 2023

Which is the best place to learn R programming? ›

Best Websites to Learn R Programming for Beginners
  • Coursera. ...
  • edX. ...
  • Codecademy. ...
  • swirl. ...
  • RStudio Education. ...
  • Tutorialspoint. ...
  • MIT OpenCourseWare. ...
  • LinkedIn Learning. “R Essential Training: Wrangling and Visualizing Data” on LinkedIn Learning, led by Barton Poulson, is designed for learners at beginner to intermediate skill levels.
Mar 22, 2024

Can I learn R on my own? ›

Yes. At Dataquest, we've had many learners start with no coding experience and go on to get jobs as data analysts, data scientists, and data engineers. R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up.

Is R easier than Python? ›

Is Python or R easier? Python is much more straightforward, using syntax closer to written English to execute commands. However, R makes it easier to visualize and manipulate data if you have other languages under your belt. It's statistics-based, so the syntax here is more straightforward for analysis.

How quickly can I learn R? ›

R is considered one of the more difficult programming languages to learn due to how different its syntax is from other languages like Python and its extensive set of commands. It takes most learners without prior coding experience roughly four to six weeks to learn R.

Is R programming a dying language? ›

In conclusion, the predictions of the death of the R programming language are premature. R continues to demonstrate its expertise, authority, and relevance in the domains of data analysis, statistical computing, data science, and software development.

What is the best resource to learn R? ›

Resources for Learning R, or Learning It Better
  • The official intro, "An Introduction to R", available online in HTML and PDF.
  • John Verzani, "simpleR", in PDF.
  • Quick-R. ...
  • Patrick Burns, The R Inferno. ...
  • Thomas Lumley, "R Fundamentals and Programming Techniques" (large PDF)

Should you learn R or SQL first? ›

If you are interested in doing statistical analysis and data visualization, then R would be a good choice. If you are interested in working with databases, then SQL would be a better choice. If you are unsure which one to choose, you could consider learning both, as they can be used together in many different ways.

Why is R hard to learn? ›

When working with R, you will need to recall more commands, making it much harder to learn and use than other languages. Another factor contributing to the difficulty of learning R is that this language has inconsistent analysis ways when more than one variable is present.

Is R programming still in demand? ›

There's no wrong choice when it comes to learning Python or R. Both are in-demand skills and will allow you to perform just about any data analytics task you'll encounter.

Where to learn R programming? ›

For those pursuing a career in data analysis or statistics, learning R programming may be worthwhile. R makes understanding and using large, complex data sets easier. Explore online courses delivered through edX to help meet your goals.

How to code efficiently in R? ›

R performance before you start
  1. Become familiar with R's vector and apply functions.
  2. Consider specialized performance packages. E.g. data.table , bigmemory , dplyr , RSQLite , snow , multicore , parallel.
  3. Consider using external optimizations (OpenBLAS/MKL)
  4. Don't use an R GUI when performance is important.
Apr 22, 2020

Can I learn R with no programming experience? ›

Though it helps to have basic computer skills and knowledge, you can enroll in a beginner level course to gain the necessary knowledge to use R in your career. You may also be able to succeed in R courses without having much experience in data science.

Is it hard to learn R and Python at the same time? ›

While there are many languages and disciplines to choose from, some of the most popular are R and Python. It's totally fine to learn both at the same time! Generally speaking, Python is more versatile: it was developed as a general-purpose programming language and has evolved to be great for data science.

References

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