Essential YouTube Channels for Aspiring Data Scientists
Written on
Chapter 1: The Power of YouTube in Learning Data Science
YouTube has been an invaluable resource for my learning journey, providing tutorials on a wide range of topics—from enhancing communication skills to mastering new calisthenics moves and even improving my dating profile on Tinder. Among the myriad of channels available, several have significantly contributed to my growth in Data Science, and I'm eager to share them with you. Get ready for some transformative insights!
Section 1.1: Data Science Dream Job
Subscribers: 6.4k
This channel focuses on securing employment in the Data Science field. It offers essential guidance on the steps needed to land a job and progress in your career. Although the channel has been inactive for the last nine months, it is packed with valuable advice, such as how to negotiate your salary effectively and how to ace job interviews. The whiteboard-style presentations make complex concepts easy to grasp.
Section 1.2: Ken Jee
Subscribers: 127k
I stumbled upon Ken's channel a few months back, and it has quickly become a staple in my learning routine. Ken discusses various aspects of Data Science and Data Analytics, covering topics such as:
- Podcasts
- Resume Writing
- Portfolio Building
His channel also features numerous hands-on Data Science projects, which are particularly beneficial for newcomers in the field.
Subsection 1.2.1: Sentdex
Subscribers: 1.02m
It's no wonder that Sentdex has over a million subscribers. If you're looking for tutorials related to Python or Machine Learning, you will likely find exactly what you need here. Sentdex's videos are user-friendly, delving deep into the subjects while avoiding unnecessary complexity.
Subsection 1.2.2: Krish Naik
Subscribers: 334k
I hold great admiration for Krish Naik. His channel covers a wide array of topics, from cloud computing and Python tutorials to machine learning implementation and data structures. He consistently uploads content at least three times a week, making his channel a treasure trove of binge-worthy material.
Section 1.3: StatQuest with Josh Starmer
Subscribers: 451k
Josh Starmer’s engaging teaching style, complete with catchy songs, makes learning about Machine Learning enjoyable. His clear explanations help build a solid intuition around complex algorithms. He posts new content about four times a month, allowing dedicated followers to learn something new each week.
Section 1.4: Corey Schafer
Subscribers: 740k
While not strictly focused on Data Science, Corey’s tutorials are invaluable for anyone interested in programming. If you’re a Python programmer, subscribing to his channel is a must—you won’t regret it!
Section 1.5: freeCodeCamp
Subscribers: 3.32m
freeCodeCamp serves as a comprehensive hub for a variety of courses that can enhance your skills, covering not only Data Science but also Mathematics, Computer Science, and more.
Chapter 2: Conclusion and Call to Action
In the video "7 Subscriptions I Use As A Data Scientist," I explore essential YouTube channels that can significantly aid your Data Science journey, offering insights and resources to enhance your skills.
The video "5 Habits That Made Me Become A Data Scientist" shares key practices that helped me develop into a successful Data Scientist, emphasizing the importance of continuous learning and community engagement.
Embarking on the journey to become a Data Scientist is no easy feat. It often requires seeking guidance from those with more experience. If you're grappling with a challenging problem, chances are one of these channels has already provided a solution. There are undoubtedly many more exceptional YouTube channels worth exploring, so feel free to share your favorites in the comments!
Thank you for reading! Connect with me on LinkedIn and Twitter to stay updated on my latest posts about Artificial Intelligence, Data Science, and Freelancing.