Looking to learn data science but not sure where to start? We have the answer: YouTube channels! Anyone can learn data science for free on YouTube, and some of the nation’s top universities are creating entire lecture series on how to become a data scientist. We’ll go over what we’ve found to be the best free online resources, including both lecture series and individual lectures, and tell you why they won’t put you to sleep.
If you’re ready to get started with learning data science from the comfort of your own home (and without spending any money) then let’s dive in!
Data Science
Best YouTube Channels for Learning Data Science
1. Siraj Raval
If you are looking for a more in-depth understanding of data science, check out Siraj Raval. He is a professor at Columbia University and has over 1 million subscribers on his YouTube channel. He also hosts a podcast called DataFramed, which focuses on the big ideas that are shaping our world today.
The best part about Raval’s content? It’s all free! You can watch his videos on YouTube or listen to his podcast on iTunes (or both). Even better: he writes books! His latest book is titled DataFramed: The Complete Guide to Turning Data Into Actionable Insights—and it’s available now.
2. Google Developers
Google Developers is a YouTube channel that offers a wide range of tutorials on a variety of topics related to programming and software development. Whether you are just getting started with coding or looking for advanced JavaScript tutorials, Google Developers has the content you need.
The channel also has playlists dedicated to specific topics like web development, machine learning and artificial intelligence (AI), Android development, Google Cloud Platform (GCP), cloud computing solutions and more. In addition to these topic-specific playlists, there are also two dedicated playlists: The Googlers Playlist which features interviews with members of the Google Developer Relations team; and The Googlers 2 which features videos from previous years’ events such as Google I/O 2018.
Google Developers is an excellent resource not only because they offer free video training but also because they provide interactive guides in their blog posts that walk developers through common tasks using their products or services such as Firebase Auth SDKs or GCP services like Natural Language API
3. Data Skeptic
As the title suggests, Data Skeptic is a channel that covers data science and related topics. It seeks to demystify these subjects by explaining them in easy-to-understand terms, using analogies and metaphors that are relevant to everyday life. In addition to videos on YouTube, Data Skeptic also has a website (data-skeptic.com) where you can learn more about their content or interact with other members of the community via forums or email lists.
Data Skeptic has over 1 million subscribers on YouTube alone, making it one of the most popular channels out there for learning about data science and machine learning in general. The channel itself was founded by Jason Brownlee back in 2014; he’s been producing videos ever since then!
4. CS50 on edX
- CS50 on edX: This is a great way to learn data science for free, and it’s offered by Harvard University. You’ll find videos, quizzes, and programming assignments that will help you grasp the basics of computer science. You’ll also get to work with other students who are studying CS50 at the same time as you.
The course is self-paced so it can fit into your schedule however you want to do it—just be sure to stay on track if you’re looking for an in-depth understanding of the material!
5. Two Minute Papers
Two Minute Papers is a series of short videos that explain the latest research in data science. Each video gives viewers an overview of the paper, explains what problem it’s trying to solve and what results it found. The videos are easy to understand and make for great introductions for beginners learning about a new topic.
6. sentdex
If you’re looking to learn about data science, machine learning, artificial intelligence and deep learning from some of the top experts in the field, then Sentdex is a great resource for you.
Here are some of their most popular videos:
7. Udacity
Udacity is a great resource for learning data science. In fact, it’s one of the oldest online learning platforms in existence. They have a ton of free courses (some even come with certificates), but they also offer paid courses as well. If you want to learn more about data science, Udacity is definitely the place to start!
Udacity has a wide range of different types of courses and levels of experience. This makes them an excellent choice if you’re looking to become a beginner or if you’ve already got some experience under your belt—you can find something that fits whatever level your skills are at!
8. Kaggle
If you’re looking to learn data science and want to get your hands dirty with real-world problems, Kaggle is a great platform to explore. The site hosts a number of competitions where participants compete against each other to solve competitions in order to win cash prizes. You’ll be able to practice coding skills and get feedback on your code from other users who may or may not know what they’re doing.
Competitions are posted on the site by companies that want their data analyzed, so you can check out who’s posting what at any given time and see if there are any that interest you.
9. Data School
Data School is a great resource for learning about data science. It’s a free online course that covers all the basics of the field, including what data science is and how it’s used in the real world. The course also teaches you how to use R and Python, two programming languages that are commonly used by data scientists.
10. 365 Data Science
365 Data Science is a weekly newsletter that provides a summary of the most important news in data science, machine learning and artificial intelligence. It’s written by Andrew Ng, the former head of AI at Baidu and founder of Coursera. The newsletter is sent out every Monday.
You can choose to read it as either a daily digest or an email that arrives once a week on Mondays.
11. Neil Lawrence & the Gaussian Processes Summer School
Neil Lawrence is a Professor of Machine Learning at the University of Sheffield and one of the most influential people in data science. He has a PhD in Artificial Intelligence, co-founded the Gaussian Processes Society, and has published over 200 research papers related to machine learning and statistics. His YouTube channel focuses on teaching introductory material about machine learning such as linear regression, logistic regression and support vector machines.
12. Gregory Piatetsky-Shapiro on Expert Interviews and Blog Conversations.
Gregory Piatetsky-Shapiro is the founder of KDnuggets, an online hub for data science and machine learning resources. He also runs a blog and hosts a podcast, which are great opportunities to learn from other experts in the field.
these are great Youtube channels to help you learn data science
There are many great YouTube channels that can help you learn data science, but here are a few of our favorites.
- [1] DataCamp](https://www.datacamp.com/) offers interactive programming courses with a focus on data science in the workplace. The instructors are extremely well versed in their subjects and do an excellent job explaining the concepts behind each lesson.
- [2] [Data School](https://www.dataschool.io/) offers free videos about how to get started with Python and R code, as well as intermediate techniques like how to scrape websites or build simple machine learning models from scratch!
- [3] One of our favorite YouTube channels for beginner-level tutorials on all things related to data science is [Programming Tutorials by Avinash](https://www.youtube/channel/UCBXlbFgxI8LoJfKq_wr5QQA). His channel covers everything from basic syntax through machine learning concepts using both Python and R languages!
Conclusion
We hope you find these channels useful as you continue to explore data science, whether you are just starting out or have been in the field for years. And remember that learning never ends—you’re always a student, no matter your experience level.
