When it comes to learning data science, there are many, many resources around the internet. Many articles, many online courses, many Youtube channels, and so on…
You have to choose carefully, especially when it comes to free things. There are a lot of low-quality or simply wrong data science tutorials out there. And even if they are free, you’ll still have to pay for them with your time.
So, Here are the top YouTube channels that you can refer to :
1. StatQuest With John Starmer
Joshua Starmer started this channel on May 23, 2011 with the objective to explain statistics to his former colleagues. In order to show the simplicity behind all the confusing terminology, he stripped away the terminologies involved and illustrated the concepts using pictures.
He explains the concept by breaking down every technique into small, simple steps. Thus, making major methodologies easier to understand. This is one of the best channels for learning data science as he really stresses the theoretical aspects of statistics and machine learning along with practical applications.
2. Corey Schafer
Sentdex, owned by Harrison Kinsley, was started on December 16, 2012. Harrison is also a founder of multiple other businesses, all of which are over the Python programming language. This channel has around 1000 videos and text-based tutorials offering some of the best programming language content for Python. The tutorials covers topics such as machine learning, deep analysis, facial recognition, and improving education for aspiring data scientists.
FreeCodeCamp is a non-profit organization that helps you learn to code by building projects. It was found by Quincy Larson, a software developer who took up programming after graduate school and created freeCodeCamp to help students progress from beginners to job-ready professionals. This is an open-source community of hectic learners. The channel has thousands of engaging coding tutorials and videos. They have videos related to Basic Python programming, Data Science Machine Learning, and Deep Learning.
5. Krish Naik
Krish Naik works as a Lead Data Scientist at Panasonic IIC, pioneering in machine learning, deep learning, and computer vision, an educator, and a mentor. This channel was started on February 11, 2012. The channel covers various topics related to AI, ML, and deep learning.
The channel extensively covers everything essential for a data scientist. The content includes machine learning, deep learning, natural language processing, computer vision, etc. He has also covered Tableau and Microsoft Power BI. Some topics related to model deployment are also covered.
6. 365 Data Science
365 Data Science is an e-learning platform that provides courses in the data science discipline. They share quality content and use a learner-friendly method of explanation. But one of the best parts is that they make use of real-life examples to relate better to. 365 Data Science joined YouTube on 07 August 2017 and now has 115K subscribers. Further, they have more than 100 videos on their channel.
They offer tutorials on Python, Data Science, Machine Learning, Deep Learning, and many more topics. Their videos also include information about the trends and educational requirements for various job roles in the data science industry.
7. Brandon Foltz
Brandon Foltz started his channel on August 11, 2011. Since then he has been sharing his knowledge. He specializes in teaching, curriculum design, and course design and has experience of almost 16 years in this field.
His tutorials focus on introductory statistics, finite mathematics along with management science, operations management, and basic accounting. It is amongst the few YouTube channels focussing on the theoretical understanding of statistics and mathematics used in data science in depth.