If you are a college student and you want to learn Python but you don’t want to pay money to learn Python, then today I have brought some free Youtube channels That will guide you on how to learn a python programming language in the easiest way. These channels will be helpful for everyone from beginner to advance learners.
Here is the Top 9 Youtube Channel List:
FreeCodeCamp: 4 hours FREE Python code Bootcamp
This course will give you a full introduction to all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time! Want more from Mike? He’s starting a coding RPG/Bootcamp
This Python tutorial for beginners shows how to get started with Python quickly. Learn to code in 1 hour! Watch this tutorial to get started!
Python for Data Science
This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib.
Scikit-learn Crash Course
Scikit-learn is a free software machine-learning library for the Python programming language. Learn how to use it in this crash course.
Machine Learning for Everybody
Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts.
Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning.
OpenCV Python Course
Learn everything you need to know about OpenCV in this full course for beginners. You will learn the very basics (reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Towards the end, you’ll have hands-on experience building a Deep Computer Vision model to classify between the characters in the popular TV series “The Simpsons”.
12 Data Science Apps
Learn how to build interactive and data-driven web apps in Python using the Streamlight library.
DSA in Python
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
“Many of life’s failures are people who did not realize how close they were to success when they gave up.”– Thomas A. Edison