Data science, with its multi-dimensional responsibilities, often requires continuous knowledge upgrades and YouTube plays an incredible role by offering strategies and insights at scale.
Not long ago, learning sources were limited, and paid “gurus” were quick to cut into your paycheck just to enroll you in their courses.
Today, YouTube stands out as one of the best free learning platforms if you follow the right roadmap.
Here’s a list of the 10 best YouTube channels for data science that can guide you in shaping your own roadmap, based on what you’re looking to achieve.
Krish Naik
A powerhouse in the data science community, Krish Naik’s channel is a comprehensive library for aspiring data scientists. He offers extensive playlists covering the entire data science lifecycle, from Python basics and statistics to advanced deep learning, MLOps, and NLP. His clear, step-by-step explanations and end-to-end project tutorials make complex topics easy to grasp.
StatQuest with Josh Starmer
If the math and statistics behind data science feel intimidating, StatQuest is the perfect remedy. Josh Starmer has a unique talent for breaking down complex statistical concepts and machine learning algorithms into simple, intuitive, and memorable explanations using fun jingles and animations. You won’t just learn how an algorithm works, but you’ll understand why.
freeCodeCamp.org
This channel is renowned for its full-length, university-level courses on a wide array of technical subjects, and data science is no exception. You can find multi-hour tutorials on Python for data analysis, complete machine learning courses, and deep dives into tools like TensorFlow and Pandas. It’s an incredible resource for in-depth, project-based learning.
Alex The Analyst
For those focused on the “data analyst” track, Alex The Analyst is an invaluable resource. His content is highly practical, focusing on the core skills needed for the job, such as SQL, Tableau, and Power BI. He walks viewers through creating portfolio-worthy projects from scratch, offering a clear roadmap from learning to landing a job.
Ken Jee
Ken Jee offers a unique blend of technical tutorials, career advice, and real-world perspective. As a professional data scientist, he shares invaluable insights on building a portfolio, preparing for interviews, and navigating a career in the field. His #66DaysOfData challenge has inspired thousands to build consistent learning habits.
Programming with Mosh
While not exclusively a data science channel, Mosh Hamedani’s content is foundational. His Python tutorials are considered among the best on the platform for their clarity, production quality, and structured approach. A strong command of Python is essential for data science, and Mosh provides the perfect starting point for absolute beginners.
365 Data Science
This channel offers professionally produced, animated videos that feel like lessons from a premium online course. They cover a broad spectrum of topics, from statistics and probability to the fundamentals of machine learning and data literacy. Their content is perfect for visual learners who want to build a strong theoretical foundation.
Tina Huang
Tina Huang brings a fresh perspective from her experience working in Big Tech. Her channel provides a mix of technical content (like solving LeetCode problems), career advice, and realistic “day in the life” vlogs that demystify what it’s like to work as a data scientist or machine learning engineer. Her content is both inspiring and practical for aspiring tech professionals.
Corey Schafer
For anyone serious about using Python for data science, Corey Schafer’s channel is a must-watch. He provides incredibly detailed and clear tutorials on Python fundamentals and advanced topics. His playlists on Pandas, Matplotlib, and object-oriented programming are essential resources for building the robust programming skills needed for complex data work.
DeepLearning AI
Founded by AI pioneer Andrew Ng, this channel is the go-to resource for diving deep into machine learning and artificial intelligence. It features clips from his famous courses, interviews with leading AI researchers, and seminars on cutting-edge topics. It’s perfect for learners who have mastered the basics and want to explore the frontiers of the field.
Next Steps
You’ve checked out the list, subscribed to the creators, and maybe even turned on notifications for future data science updates.
But just watching videos or scrolling through channels won’t help you on this journey—in fact, it might overload you and bend your path with extra noise.
You need to take notes from every lesson you learn and track the action items for what to do next.
And the best part? You can do it without any manual effort with the help of AI.
If you’re interested, get started with TubeOnAI’s free-forever plan right now.
TubeOnAI helps you capture insights, keep notes, prepare action items, and organize everything so you can access it anytime.
Plus, staying up to date with automated data science–related news is another perk you’ll get here.
FAQs
1. Is YouTube a reliable source for learning data science?
Yes, it can be an excellent resource, especially when you follow channels run by established professionals and educators like the ones listed. However, it’s important to practice and apply what you learn. Always supplement videos with hands-on coding and real-world projects to solidify your understanding.
2. I’m a complete beginner with no coding experience. Which channel should I start with?
For absolute beginners, Programming with Mosh or freeCodeCamp.org are highly recommended for learning the Python fundamentals from scratch. Once you have a basic grasp of coding, you can move on to channels like Krish Naik or Alex The Analyst for data-specific projects.
3. Can these channels help me build a portfolio for job applications?
Absolutely. Channels like Alex The Analyst, Ken Jee, and Krish Naik are specifically known for their end-to-end project tutorials. Following along and then creating your own unique projects based on their methods is one of the best ways to build a compelling portfolio that will impress employers.
4. Are any of these channels better for understanding the theory and math behind data science?
Yes. StatQuest with Josh Starmer is unparalleled for building an intuitive understanding of the statistics and math behind algorithms. 365 Data Science also provides excellent theoretical explanations in a clear, academic style.
5. How do I decide which channel is right for me?
Consider your current skill level and learning goals. If you want to build projects, check out Alex The Analyst. If you’re stuck on a statistical concept, turn to StatQuest. If you need career advice, watch Ken Jee or Tina Huang. Sample a few videos from different creators to see whose teaching style resonates best with you.
