Hey there, fellow learners! If you're on the quest to become a data scientist, chances are you've stumbled into what many call "tutorial hell." It's an overwhelming place, filled with an infinite loop of video guides for acquiring knowledge without applying it. This can be demotivating, leading you to question whether you're making any progress at all.
So, I've decided to share some channels that I genuinely think might be worth your time and can get you out of that loop.
Disclaimer: I have no affiliations with these channels. They are simply my go-to resources in my ongoing journey to become proficient in data science. (In no specific order)
Nicholas Renotte: Applied Learning Made Easy
Nicholas Renotte offers tutorials that strike the right balance between theory and hands-on projects, mainly focusing on Python and JavaScript. His channel has been a helpful guide in my own learning.
Rob Mulla: Where Theory Meets Practice
Rob Mulla has a great way of making complex topics accessible. His live Twitch sessions also add an interactive element, making the learning process more dynamic.
Digital Learning Hub: A Math Refresher
Imperial College's Digital Learning Hub is a great resource if you're looking to brush up on your foundational math skills. They offer comprehensive courses on everything from calculus to linear algebra.
Complex algorithms and mathematical models seem less daunting with 3Blue1Brown's intuitive animated visuals. This channel has really helped me get to grips with the more mathematical aspects of data science.
StatQuest, led by Josh, turns complex statistical terms into digestible information. It has made statistics and machine learning concepts more of a tool for me rather than a hurdle.
If you are ready for a deep dive into computer science, this channel is indispensable. To echo what I said before, David J. Malan is an incredible educator who makes even the most complex topics accessible.
Wrapping Up
So there you have it—a guide to some of my favorite YouTube channels that have been invaluable in my data science learning journey. This is not a one-size-fits-all list, but it's one that's helped me make progress. I hope you find it helpful too.
That being said, the field of data science is vast, and I'm still on my journey. If you think I've missed out on some great channels, or if there's something else you think should be included, feel free to reach out. I'm all ears!