{"id":8319,"date":"2023-12-19T10:00:26","date_gmt":"2023-12-19T04:30:26","guid":{"rendered":"https:\/\/www.placementpreparation.io\/blog\/?p=8319"},"modified":"2024-05-21T12:54:16","modified_gmt":"2024-05-21T07:24:16","slug":"best-youtube-channels-to-learn-r-programming","status":"publish","type":"post","link":"https:\/\/www.placementpreparation.io\/blog-live\/best-youtube-channels-to-learn-r-programming\/","title":{"rendered":"Best YouTube Channels to Learn R Programming"},"content":{"rendered":"

Are you intrigued by the world of data analysis and statistical computing and looking to master R Programming?<\/p>

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.<\/p>

10 Best YouTube Channels for R Programming – Overview<\/h2>

Here’s an overview of top 10 YouTube channels to learn R Language, with links to their channel homepage:<\/p>\n\n\n\t\n\t\n\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
S.No.<\/th>Channel Name<\/th>Subscribers<\/th>No. of Videos<\/th>Avg Duration of Videos<\/th>Channel Link<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>R Programming 101<\/td>2.67M<\/td>33 (In playlist)<\/td>Varies<\/td>Subscribe<\/a><\/td>\n<\/tr><\/thead>
2<\/td>DataCamp<\/td>8.73M<\/td>1,553<\/td>2-3 hrs<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
3<\/td>StatQuest with Josh Starmer<\/td>3.35M<\/td>13,361<\/td>10 min<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
4<\/td>Machine Learning Plus - Selva<\/td>2.37M<\/td>2,556<\/td>10 min<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
5<\/td>Google for Developers<\/td>19.6K<\/td>671<\/td>1 hr<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
6<\/td>MarinStatsLectures<\/td>847K<\/td>1,753<\/td>10 min<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
7<\/td>thenewboston<\/td>1.27M<\/td>25 (In Playlist)<\/td>10 min<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
8<\/td>Derek Banas<\/td>1.47M<\/td>24 (In Playlist)<\/td>Varies<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
9<\/td>edureka!<\/td>1.7M<\/td>1,486<\/td>10 min<\/td>Subscribe<\/a><\/td>\n<\/tr>\n
10<\/td>Data Science Tutorials<\/td>23.4K<\/td>1,822<\/td>10 min<\/td>Subscribe<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>

Best YouTube Channels to Learn R Programming<\/h2>

Below are the best YouTube channels to learn R Programming:<\/p>

1. R Programming 101<\/h3>

\"r<\/p>

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.<\/p>

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.<\/p>

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.<\/p>

\n

Joined:<\/strong> Oct 31, 2018<\/p>\n

Views:<\/strong> 301,883 views (for the “R programming for beginners” playlist)<\/p>\n

Subscribers Count:<\/strong> 89.8K subscribers<\/p>\n

User Engagement and Reviews:<\/strong> R Programming 101 is highly popular for its friendly teaching style and comprehensive coverage of R programming topics, making it a favorite among beginners.<\/p>\n

Consistency of Updates:<\/strong> Monthly 1 video<\/p>\n

Total Number of Videos:<\/strong> 18 videos (in the “R programming for beginners” playlist)<\/p>\n

Average Duration of Videos:<\/strong> 10 minutes<\/p>\n

Teaching Style:<\/strong> Clear and concise explanations, practical examples<\/p>\n

Interactive Elements:<\/strong> Screensharing, code demonstrations<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

2. DataCamp<\/h3>

\"data<\/p>

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.<\/p>

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.<\/p>

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.<\/p>

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.<\/p>

\n

Joined:<\/strong> Mar 25, 2014<\/p>\n

Views:<\/strong> 930,182 views (for the “R tutorial – Learn R Programming” playlist)<\/p>\n

Subscribers Count:<\/strong> 155K subscribers<\/p>\n

User Engagement and Reviews:<\/strong> DataCamp is highly popular for its structured teaching style and comprehensive coverage of R programming topics, making it a favorite among beginners.<\/p>\n

Consistency of Updates:<\/strong> Weekly 2 videos<\/p>\n

Total Number of Videos:<\/strong> 23 videos (in the “R tutorial – Learn R Programming” playlist)<\/p>\n

Average Duration of Videos:<\/strong> Varies, with a focus on comprehensive coverage<\/p>\n

Teaching Style:<\/strong> Structured, project-based, presentation-based<\/p>\n

Interactive Elements:<\/strong> Teaching through presentations, detailed notes in the description of each video<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

3. StatQuest with Josh Starmer<\/h3>

\"statquest<\/p>

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.<\/p>

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.<\/p>

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.<\/p>

\n

Joined:<\/strong> May 24, 2011<\/p>\n

Views:<\/strong> 74,015 views (for the “Statistics and Machine Learning in R” playlist)<\/p>\n

Subscribers Count:<\/strong> 1.05M subscribers<\/p>\n

User Engagement and Reviews:<\/strong> 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.<\/p>\n

Consistency of Updates:<\/strong> Monthly 1 video<\/p>\n

Total Number of Videos:<\/strong> 9 videos (in the “Statistics and Machine Learning in R” playlist)<\/p>\n

Average Duration of Videos:<\/strong> 15 minutes<\/p>\n

Teaching Style:<\/strong> Humorous, engaging, uses animations<\/p>\n

Interactive Elements:<\/strong> Live streams, podcasts<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

4. Machine Learning Plus – Selva<\/h3>

\"machine<\/p>

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.<\/p>

Selva’s approach is particularly beneficial for those new to data science, providing a solid foundation in R programming.<\/p>

\n

Joined:<\/strong> Apr 22, 2014<\/p>\n

Views:<\/strong> 1,834,267 views (Previously: 736,598 views)<\/p>\n

Subscribers Count:<\/strong> 30.1K subscribers<\/p>\n

User Engagement and Reviews:<\/strong> The playlist has garnered significant attention, indicating its effectiveness and popularity among beginners in data science.<\/p>\n

Consistency of Updates:<\/strong> Weekly one video<\/p>\n

Total Number of Videos:<\/strong> 191 videos (Previously: 37 videos)<\/p>\n

Average Duration of Videos:<\/strong> 5-10 minutes<\/p>\n

Teaching Style:<\/strong> Enthusiastic and passionate, focusing on real-world R applications.<\/p>\n

Interactive Elements:<\/strong> Screen sharing.<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

5. Google for Developers<\/h3>

\"google<\/p>

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.<\/p>

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.<\/p>

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.<\/p>

\n

Joined:<\/strong> Aug 23, 2007<\/p>\n

Views:<\/strong> 237,027,915 views (Playlist: 517,359 views)<\/p>\n

Subscribers Count:<\/strong> 2.33M subscribers<\/p>\n

User Engagement and Reviews:<\/strong> 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.<\/p>\n

Consistency of Updates:<\/strong> Weekly 2 videos<\/p>\n

Total Number of Videos:<\/strong> 5,938 videos (Playlist: 21 videos)<\/p>\n

Average Duration of Videos:<\/strong> 5 minutes<\/p>\n

Teaching Style:<\/strong> Professional and informative, focusing on best practices and industry standards.<\/p>\n

Interactive Elements:<\/strong> Includes tips, advice, and live sessions.<\/p>\n

Language:<\/strong> English with subtitles<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

6. MarinStatsLectures-R Programming & Statistics<\/h3>

\"marinstats\"<\/p>

MarinStatsLectures focuses on R programming and statistics, offering a comprehensive learning experience for beginners and those looking to deepen their understanding of these subjects.<\/p>

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.<\/p>

The channel is managed by Marin, an educator with a passion for teaching statistics and programming in an accessible and engaging manner.<\/p>

\n

Joined:<\/strong> Jul 27, 2013<\/p>\n

Views:<\/strong> 16,729,091 views (Playlist: 102,381 views)<\/p>\n

Subscribers Count:<\/strong> 148K subscribers<\/p>\n

User Engagement and Reviews:<\/strong> 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.<\/p>\n

Consistency of Updates:<\/strong> Currently inactive<\/p>\n

Total Number of Videos:<\/strong> 256 videos (Playlist: 56 videos)<\/p>\n

Average Duration of Videos:<\/strong> 5 minutes<\/p>\n

Teaching Style:<\/strong> Academic and in-depth, focusing on statistical theory and methodology. Marin’s lectures are ideal for those seeking a deeper understanding of R programming.<\/p>\n

Interactive Elements:<\/strong> The videos include code demonstrations, and datasets and exercises are provided for practice, enhancing the learning experience.<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

7. thenewboston<\/h3>

\"thenewboston\"<\/p>

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.<\/p>

This playlist serves as a comprehensive guide for those new to R, covering everything from basic setup to more advanced programming concepts.<\/p>

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.<\/p>

\n

Joined:<\/strong> Feb 4, 2008<\/p>\n

Views:<\/strong> 500,963,927 views<\/p>\n

Subscribers Count:<\/strong> 2.67M subscribers<\/p>\n

User Engagement and Reviews:<\/strong> The R Programming Tutorials playlist has garnered significant attention with 334,617 views, indicating strong engagement and positive reception from the audience.<\/p>\n

Consistency of Updates:<\/strong> Weekly one video<\/p>\n

Total Number of Videos:<\/strong> 4,460 videos<\/p>\n

Average Duration of Videos:<\/strong> 10 minutes<\/p>\n

Teaching Style:<\/strong> Friendly and approachable, ideal for beginners.<\/p>\n

Interactive Elements:<\/strong> Includes code examples and quizzes.<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

8. Derek Banas<\/h3>

\"derek<\/p>

Derek Banas’ YouTube channel, which began on August 12, 2008, has become a renowned platform for a diverse range of programming tutorials, including a detailed series on R programming.<\/p>

His tutorial on R programming, exemplified by the provided video, is a comprehensive guide that covers the basic syntax of R, along with examples on plotting and statistical analysis.<\/p>

Derek Banas is known for his engaging teaching style, making complex topics easy to understand, and his ability to respond to specific viewer requests, which has contributed significantly to the channel’s popularity and high user engagement.<\/p>

\n

Joined:<\/strong> Aug 12, 2008<\/p>\n

Views:<\/strong> 119,574,011 views<\/p>\n

Subscribers Count:<\/strong> 1.27M subscribers<\/p>\n

User Engagement and Reviews:<\/strong> Derek Banas’ channel is highly appreciated for its diverse range of programming tutorials and the instructor’s ability to cater to specific viewer requests.<\/p>\n

Consistency of Updates:<\/strong> Monthly one video<\/p>\n

Total Number of Videos:<\/strong> 1,232 videos<\/p>\n

Average Duration of Videos:<\/strong> Short videos around 15 minutes, and longer videos lasting 1-2 hours<\/p>\n

Teaching Style:<\/strong> Engaging and easy to understand, with practical demonstrations<\/p>\n

Interactive Elements:<\/strong> Includes screen sharing<\/p>\n

Language:<\/strong> English<\/p>\n

View Tutorial<\/a><\/p>\n<\/div><\/div>

9. edureka!<\/h3>

\"edureka\"<\/p>

edureka!, a channel that started on June 29, 2012, has become a hub for online learning, particularly in the field of programming and technology.<\/p>

The channel’s “R Tutorial Videos” playlist is a collection of 40 videos with 485,901 views, designed to help viewers understand the fundamentals of R programming through detailed explanations and examples.<\/p>

edureka! employs multiple experienced instructors who deliver structured learning in their playlists, using a presentation style combined with hands-on demonstrations, making it a valuable resource for learners at various levels.<\/p>

\n

Joined:<\/strong> Jun 29, 2012<\/p>\n

Views:<\/strong> 402,725,189 views (Playlist: 485,856 views)<\/p>\n

Subscribers Count:<\/strong> 3.89M subscribers<\/p>\n

User Engagement and Reviews:<\/strong> The playlist is well-received for its comprehensive coverage of R programming topics, attracting a significant number of views and positive feedback.<\/p>\n

Consistency of Updates:<\/strong> Multiple videos daily<\/p>\n

Total Number of Videos:<\/strong> 10,460 videos (Playlist: 40 videos)<\/p>\n

Average Duration of Videos:<\/strong> 15 min videos, 1 hr tutorials<\/p>\n

Teaching Style:<\/strong> Structured learning with multiple instructors, presentation style, and hands-on demos<\/p>\n

Interactive Elements:<\/strong> Visuals and presentations for theory, screen sharing for practical lessons<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

10. Data Science Tutorials<\/h3>

\"data<\/p>

Data Science Tutorials, a channel that began on November 1, 2015, has carved out a niche in providing focused and practical data science and programming content, particularly in R programming.<\/p>

The channel’s “R Programming Complete Tutorial” playlist, consisting of 32 videos with a total of 21,514 views, is tailored for learners seeking concise and hands-on demonstrations in R Programming.<\/p>

The channel’s approach is practical, offering short, to-the-point videos that are ideal for busy learners who need to grasp concepts quickly.<\/p>

\n

Joined:<\/strong> Nov 1, 2015<\/p>\n

Views:<\/strong> 6,740,338 views (Playlist: 21,514 views)<\/p>\n

Subscribers Count:<\/strong> 57.2K subscribers<\/p>\n

User Engagement and Reviews:<\/strong> The playlist is appreciated for its practical approach and clear demonstrations, as reflected in the views and positive feedback.<\/p>\n

Consistency of Updates:<\/strong> Weekly one video<\/p>\n

Total Number of Videos:<\/strong> 1,059 videos (Playlist: 32 videos)<\/p>\n

Average Duration of Videos:<\/strong> 10 minutes<\/p>\n

Teaching Style:<\/strong> Practical with hands-on demonstration, short and to the point<\/p>\n

Interactive Elements:<\/strong> Screen sharing, datasets in the description<\/p>\n

Language:<\/strong> English<\/p>\n

View Playlists<\/a><\/p>\n<\/div><\/div>

Frequently Asked Questions<\/h2>

1. What are the best YouTube channels for learning R Programming?<\/h3>

The best YouTube channels for learning R Programming are:<\/p>