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10 YouTube Channels to Learn Python for Data Science


YouTube Channels to Learn Python

Here are the top 10 YouTube channels to learn Python for data science

Python stands out as one of the most popular and versatile programming languages in the realm of data science. It offers a rich set of libraries and tools for data analysis, visualization, and machine learning. YouTube channels are a great way to learn from experts and practitioners who share their knowledge and experience through engaging videos. You can watch these videos at your own pace, pause and rewind when you need to, and follow along with the code examples. In this essay, we will introduce you to 10 YouTube channels to learn Python for data science.

3Blue1Brown:

If you want to learn the math behind data science and machine learning, 3Blue1Brown is the channel for you. Created by Grant Sanderson, 3Blue1Brown uses animation to explain complex mathematical concepts clearly and intuitively. You will learn about linear algebra, calculus, probability, neural networks, and more.

freeCodeCamp.org:

freeCodeCamp.org is a popular YouTube channel that offers free coding instruction for various programming languages and technologies. It has a series of videos that teach Python for data science and machine learning, covering topics such as data analysis, web scraping, data visualization, natural language processing, and more.

Sentdex:

Sentdex is a YouTube channel that provides Python tutorials for various applications, such as web development, game development, robotics, finance, data analysis, and machine learning. The channel is run by Harrison Kinsley, who has a knack for simplifying complex topics and making them easy to understand.

Corey Schafer:

Corey Schafer is a YouTube channel that offers high-quality Python tutorials for beginners and intermediate learners. The channel covers topics such as Python basics, object-oriented programming, web development, databases, and more.

Tech With Tim:

Tech With Tim is a YouTube channel that teaches programming, software engineering, machine learning, and more. The channel focuses on Python and JavaScript and has a series of videos that teach Python for data science and machine learning. You will learn how to use libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and more.

Python Programmer:

Python Programmer is a YouTube channel that belongs to Giles McMullen-Klein, a former physicist and data scientist. The channel teaches Python for data science and analysis, using real-world examples and projects. You will learn how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, and more.

StatQuest with Josh Starmer:

StatQuest with Josh Starmer is a YouTube channel that offers easy and fun explanations of machine learning, data science, and statistics. The channel is created by Josh Starmer, a former biologist and biostatistician. He uses colorful diagrams and animations to illustrate concepts and algorithms, such as linear regression, logistic regression, decision trees, random forests, k-means clustering, and more.

Krish Naik:

Krish Naik is a YouTube channel that breaks down complex concepts in AI, deep learning, and machine learning. Krish Naik, a co-founder of iNeuron, an AI education platform, runs the channel. He covers topics such as neural networks, convolutional neural networks, recurrent neural networks, natural language processing, computer vision, and more.

Codebasics:

Codebasics is a YouTube channel that teaches Python for data science and machine learning, as well as other programming languages and technologies. The channel covers topics such as data structures, algorithms, data analysis, data visualization, machine learning, web development, and more.

Simplilearn:

Simplilearn is a YouTube channel that offers online certification courses and training programs for various skills and technologies. It has a series of videos that teach Python for data science and machine learning, covering topics such as data manipulation, data visualization, web scraping, natural language processing, computer vision, and more.

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