Data science has become one of the most sought-after skills in the current job market. If you’re looking to score one of these highly sought-after roles, there are numerous resources available online that can help you learn.
While platforms like GUVI, DataCamp, Coursera, and Udacity offer structured courses and bootcamps, YouTube can provide a more informal and entertaining learning experience.
In this article, we will explore the top 7 YouTube channels that offer free and valuable content for learning data science.
The Top 7 YouTube Channels ranked:
1. FreeCodeCamp.org: Learning to Code Together
Freecodecamp is an immensely popular YouTube channel, with over five million subscribers. This community of eight million people is dedicated to learning to code together.
While the channel covers a wide range of programming topics, it also offers excellent content on data science. The hands-on approach of their videos allows you to follow along with code snippets and walkthroughs, making it easier to learn by doing.
Visit the freeCodeCamp YouTube channel to explore their informative and engaging content.
2. The Coding Train: A Journey into Data Science
The Coding Train, created by Daniel Shiffman, is a YouTube channel that focuses on data science and programming. With nearly two million subscribers, this channel provides a hands-on learning experience through code snippets and walkthroughs.
Daniel’s videos are not only educational but also entertaining. His clear explanations and engaging style make complex topics easier to grasp.
Embark on your data science journey by visiting The Coding Train YouTube channel.
3. Data Science Jojo: Engaging and Practical Data Science Tutorials
Data Science Jojo is a YouTube channel that offers free online courses and video tutorials on various trending topics within the field. With over 80,000 subscribers, this channel provides easy-to-follow tutorials with practical tips and examples.
What sets this channel apart is its unique and engaging way of presenting complex concepts. They often use analogies and stories to explain difficult data science topics, making them more accessible.
Some videos on their channel include “Regression Analysis in Tableau,” “Data Science for Beginners: Introduction to Python for Data Science,” and “Machine Learning with scikit-learn: Regression and Classification.”
To dive into their captivating tutorials, visit the Data Science Jojo YouTube channel.
4. University of Washington: Academic Approach to Data Science Education
For those seeking a more academic approach, the University of Washington’s YouTube channel is an excellent resource. With nearly 150,000 subscribers, this channel offers free data science courses taught by esteemed professors from the university.
The videos cover a wide range of topics, including machine learning, data mining, big data, and Python for data science. The series on “Python for Data Science” is particularly beneficial for beginners.
If you’re interested in pursuing a formal education in data science, the University of Washington’s YouTube channel is a great starting point. Explore their comprehensive content on the UWU YouTube channel.
5. StatQuest: Informative Data Science Explanations
StatQuest is a YouTube channel created by Josh Starmer, a data scientist specializing in machine learning and deep learning. With a focus on informative content, Josh provides insights and explanations that you won’t find elsewhere.
His clear style of speaking, slow pace, and emphasis on enunciation make it easier to understand complex data science concepts. Some of the videos on his channel include “Bias vs Variance Tradeoff,” “Linear Classification with Support Vector Machines,” and “Neural Networks for Time Series Prediction.”
Begin your quest to understand data science with the StatQuest YouTube channel.
6. Corey Shafer: Real-World Data Science Applications
Corey Shafer’s YouTube channel is a great resource for those interested in real-world data science applications. Corey, a data scientist and software developer, has over 800,000 subscribers who appreciate his interesting content and approachable personality.
His videos focus on solving real-world problems, such as predicting the price of Bitcoin using machine learning models or creating an image recognition system for identifying animals. Corey’s series, “Data Science from Scratch,” provides a hands-on introduction to the very basics.
Discover the practical side of data science by visiting Corey Shafer’s YouTube channel.
7. Sentdex: Python, Machine Learning, and Data Visualization
Sentdex, created by Harrison Kinsley, is a YouTube channel that focuses on Python programming, machine learning, and data visualization.
With over one million subscribers, this channel offers informative content presented in an approachable manner. Harrison’s clear style of speaking and his ability to simplify complex concepts make his videos valuable resources for learners.
Some of the most-watched videos on his channel cover topics such as “Machine Learning with Python (Part 0): Introduction,” and “Seaborn Library with Python (Part 0): Introduction.”
Explore the world of Python and data science at the Sentdex YouTube channel.
Learning data science has never been easier, thanks to the wealth of resources available on YouTube. In this article, we have explored the top 7 YouTube channels that provide free and valuable content.
From hands-on coding tutorials to informative explanations, these channels cover a wide range of topics, making them suitable for beginners and experienced learners alike.
So, whether you want to dive into machine learning, data visualization, or Python programming, these YouTube channels will serve as excellent starting points on your data science journey. Happy learning!
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Can I learn data science from YouTube?
Yes, you can learn data science from YouTube. Numerous channels offer free tutorials on various data science topics, including programming languages, statistics, machine learning, and data visualization. However, to gain a comprehensive understanding, supplement YouTube with structured courses, textbooks, and practical projects. Verify content quality and stay consistent in your learning approach.
How can I learn data science perfectly?
To learn data science perfectly, follow these steps:
1. Begin with the fundamentals of programming and statistics.
2. Enroll in online courses or pursue a degree in data science.
3. Work on real-world projects to gain practical experience.
4. Engage in data science communities to learn from others.
5. Master popular tools like Python, R, and SQL.
6. Stay updated with the latest trends and technologies.
7. Continuously practice and challenge yourself with new problems.
Can I be a self-taught data scientist?
Yes, you can become a self-taught data scientist and a traditional degree isn’t necessary to become one. With dedication, perseverance, and a structured learning approach, you can access numerous online resources, such as tutorials, courses, and open-source tools. Practice real-world projects, collaborate with the data science community, and continuously update your skills. Although challenging, self-learning can lead to a rewarding and successful career in data science.
Is 3 months enough to learn data science?
Three months may provide a basic understanding of data science concepts and tools, but becoming proficient typically requires more time and practice. Mastery depends on prior knowledge, dedication, available resources, and the complexity of the subject matter. Continuous learning and real-world applications are crucial for honing data science skills beyond the introductory level.
Should I learn Python or data science first?
It’s advisable to learn Python first before diving into data science. Python’s versatility, readability, and extensive libraries make it a popular choice for data analysis and manipulation. Mastering Python’s fundamentals will provide a strong foundation for effective data science learning and implementation.