Youtube Channel You Can Follow For Your Data Analysis Journey

There are some excellent YouTube channels that focus on for your data analysis and data science journey from beginners to advanced. Here are some of the best ones:

Data School:

Overview: This channel is run by Kevin Markham and is great for beginners and intermediate learners. It covers Python programming, machine learning, and data science concepts in a clear and concise manner.

Important Playlists: Pandas, scikit-learn, machine learning projects.

Krish Naik:

Overview: Krish Naik’s channel is comprehensive and covers a wide range of topics from machine learning, deep learning, data science projects, and career advice in the data science field.

Important Playlists: Data Science, Deep Learning, Machine Learning, NLP.

Sentdex:

Overview: Harrison Kinsley runs this channel and provides in-depth tutorials on Python programming, machine learning, and data science with practical projects.

Important Playlists: Python Programming, Machine Learning with Python, Deep Learning with Python.

Corey Schafer:

Overview: While Corey Schafer’s channel covers a variety of Python programming topics, it includes excellent tutorials on data analysis with Pandas and data visualization with Matplotlib and Seaborn.

Important Playlists: Python Tutorials, Pandas, Matplotlib.

StatQuest with Josh Starmer:

Overview: This channel is known for its simple and engaging explanations of statistical concepts and machine learning algorithms. It’s ideal for those who want to understand the theory behind data science.

Important Playlists: Statistics Fundamentals, Machine Learning, Neural Networks.

freeCodeCamp.org:

Overview: freeCodeCamp offers a variety of full-length courses on data science, machine learning, and programming. These are often detailed and extensive, suitable for both beginners and intermediate learners.

Important Videos: Data Analysis with Python, Machine Learning with Python, Data Science Full Course.

Ken Jee:

Overview: Ken Jee’s channel is great for practical advice and insights into the data science field, including project walkthroughs, career advice, and interviews with industry professionals.

Important Playlists: Data Science Projects, Career Advice, Python for Data Science.

Alex The Analyst:

Overview: Alex provides practical tutorials on data analysis, Excel, SQL, and Power BI. His content is accessible for beginners looking to enter the data analysis field.

Important Playlists: SQL for Beginners, Excel Tutorials, Power BI Tutorials.

codebasics:

Overview: Run by Dhaval Patel, this channel offers tutorials on Python, data science, machine learning, and data analysis tools like Pandas and NumPy. The content is practical and easy to follow.

Important Playlists: Python for Data Science, Pandas, Machine Learning, SQL.

CampusX:

Overview: CampusX is a popular educational platform that covers a variety of topics including data science, machine learning, and software development. Their videos are designed to help students and professionals upskill.

Important Playlists: Data Science Tutorials, Machine Learning, Deep Learning, Python Programming.

Edureka:

Overview: Edureka is an online learning platform that offers video tutorials on a wide range of subjects, including data science, big data, and cloud computing. Their content is structured and suitable for learners at different levels.

Important Playlists: Data Science with Python, Machine Learning, Big Data, Data Analysis.

Simplilearn:

Overview: Simplilearn is another well-known online learning platform that provides tutorials on various technology-related topics, including data science, AI, and machine learning.

Important Playlists: Data Science with Python, Artificial Intelligence, Machine Learning, Data Analysis.

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