This a great course to get started with learning Python, if you have no coding experience.
👉 https://www.kaggle.com/learn/intro-to-programming
The course covers a range of topics, such as data types, control flow, functions, file operations, and object-oriented programming. When you finish this course, you will be able to create Python programs for a variety of applications.
👉 https://learn.saylor.org/course/view.php?id=439
Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science.
👉 https://www.kaggle.com/learn/python
Part 1 prepares you for PCEP – Certified Entry-Level Python Programmer Certification.
Part 2 prepares you for PCAP – Certified Associate in Python Programming Certification.
👉 https://www.netacad.com/courses/programming/pcap-programming-essentials-python
Learn about functions, arguments, and return values; variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries.
👉 https://cs50.harvard.edu/python/2022/
A practical-oriented course with live case studies to gain expertise, 100+ hrs of study material, practical codes, quizzes, and interview guides.
Get 5 Real-time projects and 35 complementary projects.
👉 https://data-flair.training/python-course/
You'll learn Python fundamentals like variables, loops, conditionals, and functions.
Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization.
👉 https://www.freecodecamp.org/learn/scientific-computing-with-python/
You'll learn how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
👉 https://www.freecodecamp.org/learn/data-analysis-with-python/
You will learn how to implement the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
👉 https://cognitiveclass.ai/courses/data-visualization-python#about-course
Secure a score in the leading technology domains by taking this Python for Machine Learning course. Master NumPy and Pandas tools and techniques for arrays, intersections, objects, and functions for free online.
👉 https://www.mygreatlearning.com/academy/learn-for-free/courses/python-for-machine-learning3
The Introduction to Programming course consists of parts 1 through 7 in the material, and the Advanced Course in Programming consists of parts 8 through 14.
👉 https://programming-23.mooc.fi/
This test covers topics like Scalar Types, Operators and Control Flow, Strings, Collections, Iteration, Modularity, Objects, Types, and Classes.
👉 https://www.hackerrank.com/skills-verification/python_basic