10 YouTube Channels Every Aspiring Data Scientist Should Follow in 2025

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YouTube is a great place to learn new skills for free. Many channels share simple videos, useful tips, and real project ideas. These channels break down complex topics and make them easy to understand. In this article, we’ve compiled a list of 10 YouTube channels that will guide you through your data science journey.

1. StatQuest with Josh Starmer

 
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StatQuest with Josh Starmer simplifies complex topics in statistics, machine learning, data science, and AI. The channel breaks down complex concepts into lessons using engaging visuals and step-by-step explanations. Some of its popular videos explain machine learning methods such as Support Vector Machines and Random Forests. With over 1 million subscribers, it continues to be a perfect platform for anyone looking to understand data science fundamentals.

2. Krish Naik

 
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Krish Naik teaches on machine learning, deep learning, and artificial intelligence. Hosted by Krish Naik, the channel focuses on practical explanations and hands-on tutorials that help viewers understand how to apply data science techniques in real scenarios. Some of the channel’s most famous videos include "Complete Statistics for Data Science in 6 Hours" and "Complete Machine Learning in 6 Hours". It has over 1 million subscribers and is a great learning resource for beginners and experienced people.

3. Corey Schafer

 
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Corey Schafer is a popular YouTube channel with over 1 million subscribers that offers clear and helpful tutorials for software developers and programmers. The channel explains many topics like Python, Git, SQL, JavaScript, terminal commands, and basic computer science ideas. One of the most popular playlists is the "Python Tutorials" series, which teaches Python using real examples and good coding habits.

4. Alex The Analyst

 
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Alex The Analyst is a YouTube channel hosted by Alex Freberg, focused on teaching everything you need to know to become a Data Analyst. With over 1 million subscribers, the channel provides beginner-friendly content on important tools like Python and SQL, along with career advice. One of the most popular playlists is the Data Analyst Bootcamp, which includes guidance on starting a career in data analysis. It's a great resource for anyone looking to enter the data field.

5. codebasics

 
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codebasics teaches data analytics, data science, and AI through practical tutorials. The channel focuses on hands-on projects and provides valuable career advice for those looking to enter or grow in the data field. One of its most popular playlists is Data Analysis Projects, which helps viewers apply their skills to real-world scenarios. It's a great resource for learning practical data skills and preparing for data-related jobs.

6. Ken Jee

 
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Ken Jee creates informative content about data science, with a strong focus on projects, career advice, and practical tips. One of the most popular playlists on the channel is "Kaggle Projects," where Ken walks shows implementation of data science projects. The channel has over 250,000 subscribers and is helpful for those looking to start or advance their data science careers. Ken also hosts a podcast called "Ken’s Nearest Neighbors," where he interviews top experts in the industry.

7. Data School

 
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Data School is designed to help beginners learn data science and prepare for their data science job. It focuses on the most important topics you need to master and provides easy-to-understand tutorials for all learning levels. With over 250,000 subscribers, Data School is known for making complex ideas simple and accessible. One of its popular playlists is "Data Analysis in Python," which teaches practical skills for working with data using Python.

8. Data Professor

 
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Data Professor shares a passion for data science, machine learning, and bioinformatics through easy-to-understand tutorials. It’s designed to help students and data enthusiasts learn how to work with data and apply data science in meaningful ways. With over 250,000 subscribers, the channel features explainer videos and hands-on tutorials. A popular playlist on the channel is the Python Data Science Project, which walks viewers through real projects using Python.

9. The PyCoach

 
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The PyCoach helps viewers learn Python through tutorials and practical coding advice. With over 40,000 subscribers, the channel focuses on real-world projects that make learning useful and engaging. One of the most popular playlists is Python Web Scraping Tutorials, which teaches how to collect data from websites using Python. It's a great resource for beginners looking to build hands-on coding skills.

10. Egor Howell

 
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Egor Howell advises on data science and machine learning, with a focus on helping viewers navigate their career paths. With over 20,000 subscribers, the channel provides insights into breaking into the field, job tips, and personal experiences. A popular playlist is Data Science Career Advice, which explains topics like interviews and resumes. It's a helpful resource for anyone looking to start or grow in the field.

Final Thoughts

 
These YouTube channels are perfect for learning data science. They cover coding, statistics, and machine learning in simple ways. Watching them helps improve your skills and prepares you for a data science career. Stay curious, stay consistent, and keep coding.
 
 

Jayita Gulati is a machine learning enthusiast and technical writer driven by her passion for building machine learning models. She holds a Master's degree in Computer Science from the University of Liverpool.