Youtube has become a major source of information and an educational platform for many. It has an array of lessons and tutorials to learn any subject, including topics in computer science. Unlike subscription-based ed-tech models, most of the content on it is free.
Programmers, enthusiastic about teaching data science, artificial intelligence, machine learning, and deep learning are also very active on the platform and have well-established channels with videos right from the basics of programming to complex subjects of the field.
We enlisted the top programmers teaching these subjects on YouTube. Choosing the right one will depend on your experience in the field and the kind of projects you want to work on.
Krish Naik
Subscribers: 278,000
Krish Naik is the Chief Innovation Officer at iNeuron and has over eight years of industry experience. He runs his own YouTube channel, with around 278K subscribers, that explains various topics on machine learning, deep learning, and AI using real-world scenarios. Not only does he make step-by-step tutorials of these topics to apply them in real-world problems, but he also hosts Q&A sessions on his channel to address some of the complex questions of the field.
Check out the YouTube channel here.
Abhishek Thakur
Subscribers: 35,800
A 4x Kaggle grandmaster, Abhishek Thakur makes videos about applied machine learning, deep learning and data science. Along with making walkthrough videos to learn the basics of programming for data science, his channel hosts tutorials with experts on complex topics like machine learning with PyCaret, machine learning APIs, CycleGANs among others.
Check out the Youtube channel here.
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Harrison Kinsley
Subscribers: 987,000
Closing in on almost a million subscribers Harrison Kinsley runs a channel by the name Sentdex that hosts tutorials on Python programming. The channel includes programming basics in Python followed by data analysis, machine learning, and deep learning tutorials. The channel also has data science tutorials for applications in specific sectors like finance and robotics. Some of the latest uploads include videos on complex applications like quantum computing, self-driving cars, and facial recognition.
Check out the Youtube channel here.
Srivatsan Srinivasan
Subscribers: 31,100
With an industry experience of 17 years, Srivatsan Srinivasan, who is currently working as a Chief Data Scientist at Cognizant, posts everything about ‘data’. He covers an overview and implementation of topics on machine learning, artificial intelligence, data engineering, development operations, and cloud in his programming tutorials. Along with it, he also covers a lot of business use cases. One of his playlists is a ‘Machine Learning Bootcamp’ that hosts live tutorials in collaboration with DPhi, a data science community.
Check out the YouTube channel here.
Dhaval Patel
Subscribers: 208, 000
With 15 years of experience as a software engineer, Dhaval Patel thinks that ‘anyone can code’. His YouTube channel, Codebasics has 208K subscribers and encompasses tutorials right from the basics of coding to more complex topics like artificial intelligence, machine learning and deep learning. His preferred language is Python, and he has entire playlists dedicated to teaching important libraries. At the same time, he also has playlists for data science applications across sectors like real estate and sports. Patel also runs a sister channel of Codebasics in Hindi that has around 4.5K subscribers.
Check out the YouTube channel here.
Kevin Markham
Subscribers: 158,000
Kevin Markham’s channel is perfect for users who are just getting started in data science and willing to develop a strong foundational base. His channel Data School, with 158K subscribers, focuses on topics that one ‘needs to master first’. These are in-depth, hands-on programming tutorials to understand the basics. He also has playlists that introduce you to machine learning. You can start with his tutorials irrespective of your educational background.
Check out the YouTube channel here.
Siraj Raval
Subscribers: 711,000
With 712K followers, Siraj Raval’s channel has videos on some of the most complex topics in AI that he helps in simplifying. These include Rust machine learning, quantum classifiers, blockchain, deepfake chatbots, among others. He also has introductory playlists for programming tutorials on languages and frameworks used in machine learning or deep learning along with a dedicated playlist for the use of AI in different sectors like finance, business, medicine, etc.
Check out the YouTube channel here.
Ken Jee
Subscribers: 107,000
Ken Jee is a data science and sports fan who has been working in the data science industry for more than five years. He has 107K subscribers and produces content that falls in the intersection between data science and sports. His sports analytics playlist has interesting tutorials providing hands-on applications like a simulation of NBA games or NBA season win predictions using linear regression. He also hosts a podcast on the channel talking to some of the best minds in sports analytics.
Check out the YouTube channel here.
Keith Galli
Subscribers: 90,000
A recent MIT graduate, Keith Galli likes to make videos on computer science, programming, and board games. His data science playlist includes tutorials on Python libraries including NumPy, Pandas, Scikit, and Matplotlib to get you started. His channel has almost 90K subscribers. If you fancy, his board games tutorials are fun too.
Check out the YouTube channel here.
Corey Schafer
Subscribers: 682,000
Corey Schafer’s channel focuses on creating tutorials and walkthroughs for software developers, programmers, and engineers. It covers topics for beginners as well as experienced professionals. For data science, he has a playlist dedicated for libraries in Python including Pandas and Matplotlib.
Check out the YouTube channel here.
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