Are you intrigued by the world of data analysis and statistical computing and looking to master R Programming?
Embark on this journey with the best YouTube channels to learn R Programming, where complex data manipulation and analysis become accessible and engaging, opening a world of opportunities in data science.
10 Best YouTube Channels for R Programming – Overview
Here’s an overview of top 10 YouTube channels to learn R Language, with links to their channel homepage:
| S.No. | Channel Name | Subscribers | No. of Videos | Avg Duration of Videos | Channel Link |
|---|---|---|---|---|---|
| 1 | R Programming 101 | 2.67M | 33 (In playlist) | Varies | Subscribe |
| 2 | DataCamp | 8.73M | 1,553 | 2-3 hrs | Subscribe |
| 3 | StatQuest with Josh Starmer | 3.35M | 13,361 | 10 min | Subscribe |
| 4 | Machine Learning Plus - Selva | 2.37M | 2,556 | 10 min | Subscribe |
| 5 | Google for Developers | 19.6K | 671 | 1 hr | Subscribe |
| 6 | MarinStatsLectures | 847K | 1,753 | 10 min | Subscribe |
| 7 | thenewboston | 1.27M | 25 (In Playlist) | 10 min | Subscribe |
| 8 | Derek Banas | 1.47M | 24 (In Playlist) | Varies | Subscribe |
| 9 | edureka! | 1.7M | 1,486 | 10 min | Subscribe |
| 10 | Data Science Tutorials | 23.4K | 1,822 | 10 min | Subscribe |
Best YouTube Channels to Learn R Programming
Below are the best YouTube channels to learn R Programming:
1. R Programming 101
R Programming 101’s YouTube channel offers a playlist titled “R programming for beginners,” which is designed to walk learners through the basics of R programming. This playlist covers topics such as how to install R, import data, clean data, and visualize data.
R Programming 101 manages the channel, focusing on providing clear and concise explanations with a focus on practical examples. The videos are well-structured and easy to follow, making them ideal for beginners in R programming.
R Programming 101’s “R programming for beginners” playlist is beneficial for learners new to R programming. It offers a step-by-step guide to the basics of R, including installation, data importation, data cleaning, and visualization, making it a valuable resource for beginners.
Joined: Oct 31, 2018
Views: 301,883 views (for the “R programming for beginners” playlist)
Subscribers Count: 89.8K subscribers
User Engagement and Reviews: R Programming 101 is highly popular for its friendly teaching style and comprehensive coverage of R programming topics, making it a favorite among beginners.
Consistency of Updates: Monthly 1 video
Total Number of Videos: 18 videos (in the “R programming for beginners” playlist)
Average Duration of Videos: 10 minutes
Teaching Style: Clear and concise explanations, practical examples
Interactive Elements: Screensharing, code demonstrations
Language: English
2. DataCamp
DataCamp’s YouTube channel offers a playlist titled “R tutorial – Learn R Programming,” which includes 23 videos designed to teach the basics of R programming.
The playlist covers topics such as the true basics of R, basic data types in R, creating and naming vectors, subsetting vectors, matrix arithmetic, using factors, creating and naming lists, using data frames, making basic graphics, customizing plots, plotting multiple graphs, conditional statements, logical and relational operators, and more.
DataCamp, a platform known for structured and project-based learning, manages the channel. The channel focuses on presentation-based teaching, making the learning process effective and accessible.
DataCamp’s “R tutorial – Learn R Programming” playlist offers a step-by-step guide to the basics of R, including data types, vectors, matrices, data frames, and graphics, making it a valuable resource for beginners.
Joined: Mar 25, 2014
Views: 930,182 views (for the “R tutorial – Learn R Programming” playlist)
Subscribers Count: 155K subscribers
User Engagement and Reviews: DataCamp is highly popular for its structured teaching style and comprehensive coverage of R programming topics, making it a favorite among beginners.
Consistency of Updates: Weekly 2 videos
Total Number of Videos: 23 videos (in the “R tutorial – Learn R Programming” playlist)
Average Duration of Videos: Varies, with a focus on comprehensive coverage
Teaching Style: Structured, project-based, presentation-based
Interactive Elements: Teaching through presentations, detailed notes in the description of each video
Language: English
3. StatQuest with Josh Starmer
The “Statistics and Machine Learning in R” playlist by StatQuest with Josh Starmer focuses on statistics and machine learning concepts using R programming. This playlist includes videos on PCA, MDS and PCoA, Random Forests, Linear Regression, Multiple Regression, Design Matrix Examples, Logistic Regression, Ridge, Lasso and Elastic-Net Regression, and ROC and AUC in R.
Josh Starmer, the creator of StatQuest, is known for his humorous and engaging teaching style. He uses animations to simplify complex topics in statistics and data science, making his tutorials accessible and enjoyable.
StatQuest’s “Statistics and Machine Learning in R” playlist offers clear explanations of various concepts and techniques, making it a valuable resource for both beginners and experienced learners in these fields.
Joined: May 24, 2011
Views: 74,015 views (for the “Statistics and Machine Learning in R” playlist)
Subscribers Count: 1.05M subscribers
User Engagement and Reviews: StatQuest with Josh Starmer is highly acclaimed for its ability to simplify complex topics in statistics and data science, making it a favorite among learners in these fields.
Consistency of Updates: Monthly 1 video
Total Number of Videos: 9 videos (in the “Statistics and Machine Learning in R” playlist)
Average Duration of Videos: 15 minutes
Teaching Style: Humorous, engaging, uses animations
Interactive Elements: Live streams, podcasts
Language: English
4. Machine Learning Plus – Selva
The “R Tutorials for Non-Programmer Datascientists – Full Course” playlist, created by Machine Learning Plus – Selva, offers beginners a comprehensive journey through R programming, covering essential topics like basic math operations, data types, and dataframes.
Selva’s approach is particularly beneficial for those new to data science, providing a solid foundation in R programming.
Joined: Apr 22, 2014
Views: 1,834,267 views (Previously: 736,598 views)
Subscribers Count: 30.1K subscribers
User Engagement and Reviews: The playlist has garnered significant attention, indicating its effectiveness and popularity among beginners in data science.
Consistency of Updates: Weekly one video
Total Number of Videos: 191 videos (Previously: 37 videos)
Average Duration of Videos: 5-10 minutes
Teaching Style: Enthusiastic and passionate, focusing on real-world R applications.
Interactive Elements: Screen sharing.
Language: English
5. Google for Developers
Google for Developers is a channel dedicated to providing in-depth tutorials and insights into various programming languages and developer tools, with a strong emphasis on R programming.
The “Intro to R” playlist specifically offers a series of tutorials that guide viewers through the fundamentals and advanced aspects of R, aiming to enhance their programming skills and understanding.
The channel is managed by a team of experts, who bring their extensive knowledge and professional experience to the forefront, making it a reliable source for developers.
Joined: Aug 23, 2007
Views: 237,027,915 views (Playlist: 517,359 views)
Subscribers Count: 2.33M subscribers
User Engagement and Reviews: The “Intro to R” playlist shows strong engagement, indicated by the high view count and active viewer interactions, suggesting the content is well-received and valuable to its audience.
Consistency of Updates: Weekly 2 videos
Total Number of Videos: 5,938 videos (Playlist: 21 videos)
Average Duration of Videos: 5 minutes
Teaching Style: Professional and informative, focusing on best practices and industry standards.
Interactive Elements: Includes tips, advice, and live sessions.
Language: English with subtitles
6. MarinStatsLectures-R Programming & Statistics
MarinStatsLectures focuses on R programming and statistics, offering a comprehensive learning experience for beginners and those looking to deepen their understanding of these subjects.
The playlist contains a series of tutorials that guide users through the basics of R programming, using RStudio, and delves into various statistical methods and analyses.
The channel is managed by Marin, an educator with a passion for teaching statistics and programming in an accessible and engaging manner.
Joined: Jul 27, 2013
Views: 16,729,091 views (Playlist: 102,381 views)
Subscribers Count: 148K subscribers
User Engagement and Reviews: The playlist, titled “R Tutorials | R Programming for Beginners | MarinStatsLectures,” is a well-received series, evident from the high view counts on individual videos, indicating strong engagement and interest in the content.
Consistency of Updates: Currently inactive
Total Number of Videos: 256 videos (Playlist: 56 videos)
Average Duration of Videos: 5 minutes
Teaching Style: Academic and in-depth, focusing on statistical theory and methodology. Marin’s lectures are ideal for those seeking a deeper understanding of R programming.
Interactive Elements: The videos include code demonstrations, and datasets and exercises are provided for practice, enhancing the learning experience.
Language: English
7. thenewboston
thenewboston is a popular YouTube channel, known for its wide array of programming and development tutorials, with a particular focus on R programming in the playlist provided.
This playlist serves as a comprehensive guide for those new to R, covering everything from basic setup to more advanced programming concepts.
The channel, started on February 4, 2008, by Bucky Roberts, has become a go-to resource for beginners and intermediate learners in the programming community.
Joined: Feb 4, 2008
Views: 500,963,927 views
Subscribers Count: 2.67M subscribers
User Engagement and Reviews: The R Programming Tutorials playlist has garnered significant attention with 334,617 views, indicating strong engagement and positive reception from the audience.
Consistency of Updates: Weekly one video
Total Number of Videos: 4,460 videos
Average Duration of Videos: 10 minutes
Teaching Style: Friendly and approachable, ideal for beginners.
Interactive Elements: Includes code examples and quizzes.
Language: English
