Data Science is termed as the sexiest job of the 21st century. According to ZipRecruiter, the entry-level salary for a Data Scientist is estimated to be $69,000 and the average salary for a mid-level data scientist to be around $89,000. With such an immense scope in the industry, the demand for Data Scientists has increased by folds. In this post, we are going to explore 15 Youtube Channels where you can get started and learn Data Science for free.
FreeCodeCamp doesn't need any introduction. It is my go-to channel to get knowledge on any computer science concept. FreeCodeCamp's Data Scientist Playlist has videos on Data Science, Data Visualisation, Data Analysis and more.
Data Science Dojo is an amazing channel with over 3M+ views on their videos and 70.3k subscribers. They host a 5-day Data Science Bootcamp around the world which has been attended by 4,000+ professionals from over 1,500+ companies globally. You can check their schedule for 2021 here. Data Science Dojo is one of the channels that post videos on Data Science tutorials on both R and Python programming language. You can explore their playlists by clicking here.
With 6 Million+ views and 172k subscribers on their channel, 365 Data Science contains videos on Basics of Probability, Probability Distribution, Roadmaps for various positions in Data Science, and everything in between. They also offer courses on Python, Data Preprocessing, SQL, Data Visualisation, Deep learning and more on their website at 365datascience.com
This resource is a goldmine for people wanting to learn statistics and machine learning. StatQuest breaks down complicated Statistics and Machine Learning methods into small, bite-sized pieces that are easy to understand. StatQuest doesn't dumb down the material, instead, it builds you up so that you are smarter and have a better understanding of Statistics and Machine Learning.
This channel has whooping 22M+ views and 466k+ subscribers. You can access StatQuests's playlists from here.
For people who want to specifically focus on the Data Analysis side of Data Science, Alex is your guy. His show Alex the Analyst Show is one of my favourite resources on the internet. For people who want real-life advice rather than tutorials, do check him out.
6. Ken Jee
Ken Jee has been working in the data science field doing sports analytics for the last 5 years. He has held data science positions in companies ranging from startups to fortune 100 organizations. His youtube channel has over 3M+ views and 132k subscribers. He has some amazing playlist on Data Science Jobs, Data Science Fundamentals and Data Science Projects and more.
DataCamp's youtube channel has over 14M+ views and 112k subscribers. DataCamp has educated 6 million people around the world through their courses at DataCamp.com. They've playlist for R Tutorials for DataScience and Python for Data Science. For a review of its courses, I'd recommend Alex's video on DataCamp.
Chanin Nantasenamat aka Data Professor is a Professor of Bioinformatics at a Research University where he leads a research laboratory that harnesses data science for unravelling the hidden knowledge of big data in medicine. Chanin has more than 15 years of experience in data science and has published more than 100 research articles, review articles and book chapters.
3Blue1Brown has animated tutorials on concepts of Maths and Entertainment. It is a great resource to understand any mathematical concepts such as calculus, differential equations , neural networks and more.
10. Krish Naik
Krish Naik is a lead Data Scientist, pioneering in machine learning, deep learning, and computer vision, an educator, and a mentor, with over 8 years of experience in the industry. In his channel, Krish explains various topics on machine learning, deep learning, and AI with many real-world problem scenarios.
The best part about this channel is that Krish has made a video where he explains how to learn Data Science via his channel by following various playlists. It goes as Python for Machine Learning -> [Statistics in ML](https://www.youtube.com/playlist?list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO -> Feature Engineering -> Machine Learning ->ML Pipelines -> Deep Learning -> Projects.
11. Code Basics
Code Basics is a channel by Dhaval Patel and who has more than 15 years of experience working as a software engineer. He has over 16M views on his channel with 284k subscribers. He has a Data Science Playlist of 111 videos where he covers, Python, Jupyter Notebook, Numpy, Pandas, Matplotlib for data visualization, Machine Learning using sklearn & deep learning using tensorflow 2.0.
Edureka is another platform that needs no introduction. It has 207M views on its channel with 2.55M subscribers. It has a 10-hour Data Science course where all the major concepts are covered in detail. It is suited for both beginners and professionals. You can access the 10-hour Data Science Full Course by Edureka here.
Intellipaat is a channel with 44M+ views and 919k subscribers. It has an 11-hour course on complete data science starting from what is data science to various data science concepts, data science projects and data science interview questions & answers. It is an end to end data science full course.
Simplilearn is a channel with 69M+ views and 983k subscribers. Similar to Edureka, it has a 10-hour course where it provides a learning path of Data Science in a correct manner. It is filled with lots of Practical Examples and is beginner-friendly. You can access the 10 Hour Data Science Course by Simplilearn here.
15. Great Learning
Great learning has a Data Science Course by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Academicians in India.
He has taught applied mathematics at the Massachusetts Institute of Technology (MIT) as well as been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). You can also get a free certificate from Great Learning for Data Science by visiting here.
I hope this article was useful for you. Mastering Data Science requires a lot of hard work, patience and knowledge. If you're just in for the money it offers, you can opt for becoming a software engineer too. It pays the same and some times even more. With that said, Data Science holds a lot of potentials and is already changing the way we look at business.
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