Best Free Python Courses 2026

University of Michigan (via Coursera) · Python Programming

In “Applied Information Extraction in Python,” you will learn how to extract useful information from free-text data, which is a type of string data created when people type. Examples of free-text data include names of people or organizations, location information such as cities and zip codes, or other elements like stock prices or clinical diagnoses. Free-text data is found everywhere, from magazine articles to social media posts, and can be complex to analyze. In this course, you’ll use applied machine learning and text-mining techniques to analyze free-text data. You will learn how to identify named entities and tag them with appropriate types of classifications, using real-world data from business, politics, and healthcare. You’ll develop multiple approaches to recognize and extract named entities and attributes of interest from free-text data, ranging from regular expressions to neural network models. Finally, you’ll explore Transformer models such as ChatGPT and Large Language Models to extract information from large datasets. This is the final course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the following courses from the Applied Data Science with Python Specialization: Introduction to Data Science in Python, Applied Machine Learning in Python, and Applied Text Mining in Python.

Udemy · Python Programming

Learn Python like a Professional! Learn this decade's most valuable skill in a fun and interactive way!. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 4.6/5 by 394 learners. Available for free.

Udemy · Python Programming

TOP NEW FREE Python 3 programming training tutorial. Intermediate language introduction. Pro development code course. Advanced-level Programming & DSA course on Udemy with 1 hour of content. Rated 4.6/5 by 1,005 learners. Available for free.

Udemy · Python Programming

Learn how to get started with AWS Lambda Functions using Python run time for free. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 4.6/5 by 80 learners. Available for free.

Udemy · Python Programming

Learn Cisco Network DevOps: ACI, Ansible, Python, SDN, Kubernetes, Docker, Containers, NETCONF, includes free labs!. Beginner-friendly Cloud & DevOps course on Udemy with 20 hours of content. Rated 4.5/5 by 2,218 learners. Available for free.

Udemy · Python Programming

Use for SDN/Network Simulation, Python Network Programming/Automation. Beginner-friendly Cybersecurity course on Udemy with 2 hours of content. Rated 4.5/5 by 131 learners. Available for free.

Udemy · Python Programming

Python is a highly paid programming language and is great for beginners. Learn Python from scratch with free exercises. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 4.4/5 by 2,854 learners. Available for free.

Udemy · Python Programming

Free Beginner Course going over the fundamentals of Python programming. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 4.4/5 by 1,646 learners. Available for free.

Udemy · Python Programming

Learn Programming and Python for Free!. Beginner-friendly Programming & DSA course on Udemy with 2 hours of content. Rated 4.3/5 by 175 learners. Available for free.

Udemy · Python Programming

Learn Python programming from zero level to advance level with a quick and practical approach. Beginner-friendly Programming & DSA course on Udemy with 2 hours of content. Rated 4.3/5 by 217 learners. Available for free. Taught in Hindi.

Udemy · Python Programming

First Steps to Automation in Python. Automate your mouse and keyboard operations and get free time. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 4.2/5 by 14 learners. Available for free.

Udemy · Python Programming

Python Programming for Beginners Course for your weekends - BREAK THE CODE! From Zero to Hero to Super Hero!. Beginner-friendly Programming & DSA course on Udemy with 3 hours of content. Rated 4.1/5 by 2,293 learners. Available for free.

Udemy · Python Programming

FREE Course on Data Science, Machine Learning, Data Analysis, Data Visualization using Python and R Programming. Beginner-friendly Cloud & DevOps course on Udemy with 8 hours of content. Rated 4.1/5 by 2,115 learners. Available for free.

Udemy · Python Programming

Understanding Machine Learning for Data Science in python. Best skill to get in free time. Beginner-friendly AI & Machine Learning course on Udemy with 1 hour of content. Rated 4.1/5 by 98 learners. Available for free.

Udemy · Python Programming

Free Data Science Course: Data Preprocessing: Correlation, Data Molding, Null Values. Beginner-friendly AI & Machine Learning course on Udemy with 1 hour of content. Rated 4.1/5 by 191 learners. Available for free.

Udemy · Python Programming

Free Course: Natural Language Processing (NLP), Text Processing, Machine Learning, Spam Filter [Python]. Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 3.8/5 by 102 learners. Available for free.

Udemy · Python Programming

Learn the basics of the Twitter API and Python without any prior knowledge required!. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 3.5/5 by 70 learners. Available for free.

Udemy · Python Programming

Beginner-friendly Web Development course on Udemy with 2 hours of content. Available for free. Beginner-friendly Web Development course on Udemy with 2 hours of content. Available for free.

Coursera · Python Programming

In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app. This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model. The prerequisites of this project include fundamental knowledge of programming principles, particularly Python and JSON fundamentals. In the course of the project you will create an OpenAI account and use API credits. Any new account will allow 5 US Dollars worth of free credit, which is more than enough to complete the project. PLEASE NOTE: if you already have an OpenAI account and are unable to avail of the free credit, you may incur costs for using OpenAI API.

Northwestern University (via Coursera) · Robotics & Automation

Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study. It is not a sampler. In Course 1 of the specialization, Foundations of Robot Motion, you will learn fundamental material regarding robot configurations, for both serial robot mechanisms and robots with closed chains. You will learn about configuration space (C-space), degrees of freedom, C-space topology, implicit and explicit representations of configurations, and holonomic and nonholonomic constraints. You will also learn how to represent spatial velocities and forces as twists and wrenches. This material is at the core of the study of anything that moves (e.g., robots). This course follows the textbook "Modern Robotics: Mechanics, Planning, and Control" (Lynch and Park, Cambridge University Press 2017). You can purchase the book or use the free preprint pdf. You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.