Best YouTube Channels to Learn Data Science

Looking to learn and become a data scientist but reading is not your thing? With countless YouTube channels dedicated to this field, you don’t need to read, you can learn with interactive videos made just to simply data science for dedicated learners like you.

But with so many YouTube channels in the mix, selecting the best one for learning data science can be overwhelming. 

So that you can focus on just the learning without the hassle of research, we’ve compiled a list of the best YouTube channels to learn data science that offer high-quality, educational content tailored to various levels of expertise.

10 Best YouTube Channels for Data Science – Overview

Here’s an overview of top 10 YouTube channels to learn Data Science:

Best YouTube Channels to Learn Data Science

Let’s dive deeper into these channels to see what makes them the best options for learning data science.

1. 365 Data Science

365 Data Science is an excellent starting point for anyone new to the field. The channel covers a broad spectrum of data science topics, including Python, R, and statistical concepts, making it an ideal resource for beginners.

• Joined: April 2017
• Views: 40M+
• Subscribers Count: 321K+
• Consistency of Updates: Regular uploads (weekly)
• Total Number of Videos: 280+
• Average Duration of Videos: 10-20 minutes
• Content Variety: Data science basics, statistical concepts, Python, R
• Level of Difficulty: Beginner to Intermediate
• Language: English
• View Playlist

2. Ken Jee

Ken Jee is known for his career-focused content, offering insights into the data science profession. Ken Jee is a data scientist with industry experience in machine learning and analytics. He shares his personal experiences and provides practical advice on breaking into the field. 

• Joined: April 2018
• Views: 20M+
• Subscribers Count: 261K+
• Consistency of Updates: Regular uploads (bi-weekly)
• Total Number of Videos: 290+
• Average Duration of Videos: 15-30 minutes
• Content Variety: Data science career advice, project walkthroughs
• Level of Difficulty: Intermediate to Advanced
• Language: English
• View Playlist

3. freeCodeCamp.org

freeCodeCamp.org offers extensive, full-length courses on data science, programming, and more, making it ideal for those looking for in-depth knowledge.

• Joined: December 2014
• Views: 300M+
• Subscribers Count: 9.87M+
• Consistency of Updates: Weekly updates
• Total Number of Videos: 1200+
• Average Duration of Videos: 60-180 minutes
• Content Variety: Covers data science, Python, machine learning, SQL, and web development.
• Level of Difficulty: Beginner to Advanced
• Language: English
• View Playlist

4. Data Science Dojo

Data Science Dojo is a great resource for beginners and intermediate learners, covering fundamental concepts in data science, machine learning, and AI. The instructors are seasoned data scientists and educators.

• Joined: January 2014
• Views: 15M+
• Subscribers Count: 107K+
• Consistency of Updates: Regular uploads (weekly)
• Total Number of Videos: 500+
• Average Duration of Videos: 5-15 minutes
• Content Variety: Data science tutorials, machine learning, Python, R
• Level of Difficulty: Beginner to Intermediate
• Language: English
• View Playlist

5. StatQuest with Josh Starmer

StatQuest simplifies complex statistical concepts and data science topics, making it easier for learners to grasp intricate ideas. Josh Starmer is a statistical scientist with extensive experience in academia.

• Joined: May 2011
• Views: 57M+
• Subscribers Count: 1.23M+
• Consistency of Updates: Regular uploads (weekly)
• Total Number of Videos: 266+
• Average Duration of Videos: 10-20 minutes
• Content Variety: Statistics, machine learning, data science concepts
• Level of Difficulty: Beginner to Advanced
• Language: English
• View Playlist

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6. Krish Naik

Krish Naik is a prominent figure in the data science community, offering in-depth tutorials that cater to both intermediate and advanced learners. His content is particularly valuable for those looking to dive deep into machine learning, deep learning, and data analysis.

• Joined: 2016
• Views: 75M
• Subscribers Count: 1.01M
• Consistency of Updates: Regular weekly updates
• Total Number of Videos: 300
• Average Duration of Videos: 40 minutes
• Content Variety: In-depth tutorials on machine learning, deep learning, and data analysis.
• Level of Difficulty: Intermediate to advanced
• Language: English
• View Playlist

7. Alex The Analyst

Alex The Analyst is an excellent resource for aspiring data analysts, covering topics like Excel, SQL, and Tableau.

• Joined: May 2019
• Views: 25M+
• Subscribers Count: 853K+
• Consistency of Updates: Regular uploads (weekly)
• Total Number of Videos: 200+
• Average Duration of Videos: 10-20 minutes
• Content Variety: Data analysis, SQL, Excel, Tableau
• Level of Difficulty: Beginner to Intermediate
• Language: English
• View Playlist

8. Corey Schafer

Corey Schafer offers in-depth programming tutorials, focusing on Python, which is essential for data science. Corey Schafer is an experienced software developer and educator.

• Joined: February 2014
• Views: 91M+
• Subscribers Count: 1.35M+
• Consistency of Updates: Regular uploads (monthly)
• Total Number of Videos: 232+
• Average Duration of Videos: 10-30 minutes
• Content Variety: Python programming, web development, data science
• Level of Difficulty: Intermediate to Advanced
• Language: English
• View Playlist

9. Sentdex

Sentdex provides comprehensive Python tutorials with a focus on machine learning, data science, and AI.

• Joined: February 2012
• Views: 140M+
• Subscribers Count: 1.36M+
• Consistency of Updates: Regular uploads (weekly)
• Total Number of Videos: 1.2K+
• Average Duration of Videos: 15-30 minutes
• Content Variety: Python programming, machine learning, AI, robotics
• Level of Difficulty: Intermediate to Advanced
• Language: English
• View Playlist

10. Data School

Data School is perfect for those who prefer bite-sized lessons on data science, with a strong focus on Python and machine learning.

• Joined: October 2013
• Views: 15M+
• Subscribers Count: 243K+
• Consistency of Updates: Monthly updates
• Total Number of Videos: 100+
• Average Duration of Videos: 5-20 minutes
• Content Variety: Python, machine learning, and data visualization.
• Level of Difficulty: Beginner to Intermediate
• Language: English
• View Playlist: Link

Final Words

With dedicated learning, YouTube channels to learn data science like the ones in this article can help you reach your goal in record time! These channels listed above offer a diverse range of content, from foundational tutorials to advanced techniques, ensuring that learners at various levels can find valuable resources. 

Whether you prefer interactive, example-driven content or in-depth lectures, these channels provide high-quality education to help you excel in the field of data science.

Frequently Asked Questions

1. What are the best YouTube channels for learning Data Science?

Some of the best YouTube channels for learning Data Science are Krish Naik, 365 Data Science, Corey Schafer, StatQuest with Josh Starmer, and Ken Jee.

2. Why should I choose YouTube for learning Data Science?

YouTube offers free, accessible, and diverse learning resources, with tutorials from industry experts, making it an ideal platform for self-paced Data Science education.

3. How do I choose the right YouTube channel for learning Data Science?

Choose channels that provide structured content, high-quality explanations, and cover topics from basic to advanced levels. Check viewer ratings and comments for feedback on content quality, we’ve provided all this info and more in the blog above.

4. Can a beginner learn Data Science effectively through YouTube channels?

Yes, beginners can effectively learn Data Science through YouTube, as many channels offer step-by-step tutorials, practical examples, and foundational courses tailored for novices.

5. How important is the instructor’s expertise in these Data Science YouTube channels?

The instructor’s expertise is crucial as it ensures accurate information, practical insights, and guidance on real-world applications, which enhances the learning experience.