8 BEST Python Courses Online for Beginners (2026)
Editorial Team
Python is one of the most widely used programming languages in technology. Learning it can support careers in artificial intelligence, data science, automation, web development, and software engineering. The right course helps you understand concepts, practice coding, and apply Python to real-world problems. This article reviews online options to help you choose a course that matches your goals, experience, and schedule.
We compared course curricula, learning formats, certificates, ratings, prerequisites, and enrollment options using provider information. The list includes free-to-enroll and paid programs for beginners, intermediate learners, and aspiring data professionals. Each recommendation explains what the course covers, who it suits, and its limitations, helping you make an informed decision without relying on unsupported claims. Read more…
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Best Python Online Courses with Certificate
| Course Name | Provider | Duration | Ratings | Link |
|---|---|---|---|---|
| Applied Data Science with Python Specialization | University of Michigan on Coursera | 3 months at 10 hours per week | ⭐ 4.5 | Enroll Now >> |
| Introduction to Python Programming | University of Pennsylvania on Coursera | 3 weeks at 10 hours per week | ⭐ 4.6 | Enroll Now >> |
| Python for Everybody Specialization | University of Michigan on Coursera | 2 months at 10 hours per week | ⭐ 4.8 | Enroll Now >> |
| Learn Python with Coddy | Coddy | Self-paced | ⭐ 4.5 | Enroll Now >> |
| Python 3 Programming Specialization | University of Michigan on Coursera | 3 months at 10 hours per week | ⭐ 4.8 | Enroll Now >> |
1) Applied Data Science with Python Specialization (Coursera)
Specs: Duration: 3 months at 10 hours per week | Certificate on Completion: Yes | Level: Intermediate | Courses: 5 | Rating: 4.5
Applied Data Science with Python from the University of Michigan is a five-course specialization for learners who already know basic Python. It moves from data manipulation with pandas to plotting and charting, applied machine learning, text mining, and social network analysis, with programming assignments in every course.
This specialization is designed for learners who want to strengthen their Python and data science skills. It offers a flexible, self-paced schedule and is taught in English, with 24 languages available. Programming assignments, quizzes, and applied projects reinforce the concepts covered in each course. Basic Python or programming experience is recommended before starting.
What will you learn?
- Mastering Inferential Statistics: You will learn the fundamentals of inferential statistics, which allows you to make inferences about populations based on sample data. This skill helps you test hypotheses, estimate data properties, and draw conclusions, providing a great way to make data-driven decisions for your analysis and research.
- Data Visualization Techniques: You will learn how to choose the most suitable data visualization methods based on your specific needs. Effective visualization plays a key role in communicating data insights clearly, and selecting the right approach can significantly enhance clarity and decision-making in your analysis.
- Data Analysis with Machine Learning: Machine learning for data analysis can help uncover hidden patterns and predict future trends. These techniques will allow you to process and analyze large datasets more effectively, providing valuable insights that can be used for better decision-making and automation.
- Exploring Social Network Connectivity: You will learn how graph theory helps you explore and understand connections within social networks. This approach allows you to analyze the relationships between entities, uncover hidden patterns, and better understand complex systems like social media, networks, and organizations.
- Graph Theory in Practice: Graph theory is a perfect method to visualize and study the relationships between various components in a system. This approach helps you analyze networks and interactions, making it particularly useful for examining social media platforms, transportation systems, or even the internet itself.
Pricing:
Enroll for free
How to Enroll in Applied Data Science with Python
- Step 1) Open the specialization page on Coursera.
- Step 2) Tap the “Enroll for Free” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Applied Data Science with Python Specialization content.
2) Introduction to Python Programming (Coursera)
Specs: Duration: 3 weeks at 10 hours per week | Certificate on Completion: Yes | Level: Beginner | Modules: 4 | Rating: 4.6
Introduction to Python Programming from the University of Pennsylvania teaches core programming to complete beginners. Its four modules cover installing Python 3, data types and operators, control flow, writing custom functions, and working with data structures.
The course takes about three weeks at 10 hours a week, and 12 graded assignments test each topic before you move on. Learners who complete the graded work can earn a shareable certificate.
What will you learn?
- Data Types and Operators: Understanding data types and operators in Python allows you to manipulate and perform operations on various types of data, which is essential for writing effective code. Mastering this concept helps you handle different data more efficiently, making your programs more reliable.
- Learn About Control Flow: Control flow in Python determines the execution order of code. By mastering constructs like loops and conditionals, you can direct the flow of your program’s execution. It’s great for creating more interactive and user-responsive applications. This allows you to make decisions and repeat actions, increasing the versatility of your code.
- Working with Functions: Functions are the building blocks of Python programs, helping you organize code, eliminate redundancy, and improve readability. They allow you to modularize your code, making it easier to maintain and debug.
- Install Python 3: Installing Python and setting up an environment ensures that you are working with the correct version of Python and avoid compatibility issues. The best way to get started is to download Python 3 and set up your environment properly. This step is essential in creating a stable foundation for coding in Python.
- Write and Run Sample Python Programs: Writing and running a simple Python program through the Python interpreter is a great way to get hands-on experience. This allows you to see immediate results, which can help you debug your code faster.
Pricing:
Enroll for free
How to Enroll in the Introduction to Python Programming Course?
- Step 1) Head over to the Introduction to Python Programming course page on Coursera.
- Step 2) Tap the “Enroll for Free” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Introduction to Python Programming content.
3) Python for Everybody Specialization (Coursera)
Specs: Duration: 2 months at 10 hours per week | Certificate on Completion: Yes | Level: Beginner | Courses: 5 | Rating: 4.8
Python for Everybody from the University of Michigan teaches programming from scratch. Charles Severance starts with installing Python and basic syntax, then covers data structures, networked applications and web data, and databases. The capstone combines these skills in a data retrieval and visualization project.
The specialization is self-paced and fully online, with videos, readings, graded quizzes, and programming assignments in each course. It is available in several languages and suits learners with no programming experience.
What will you learn?
- Python Installation Basics: Installing Python and writing your first program is an essential step toward becoming proficient in the language. It is one of the easiest ways to get started with programming.
- Understanding Python Syntax: Grasping Python’s basic syntax and structure is essential for anyone beginning their programming journey. These concepts are necessary for learning advanced topics in Python and other languages.
- Working with Variables in Python: Variables are crucial in storing, retrieving, and calculating data effectively.
- Utilizing Functions and Loops: Functions and loops are indispensable tools in Python programming. They’re great for increasing efficiency in code, and mastering them is essential for anyone learning Python.
- Data Retrieval and Processing: Learn to collect data through APIs and web scraping, work with databases, and create visualizations during the capstone project.
Pricing:
Enroll for free
How to Enroll in Python for Everybody
- Step 1) Head over to the Python for Everybody Specialization course page on Coursera.
- Step 2) Tap the “Enroll for Free” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Python for Everybody Specialization content.
4) Learn Python with Coddy (Coddy)
Specs: Duration: Self-paced | Certificate on Completion: Yes, free | Level: Beginner to intermediate | Structure: 3 sections and 6 projects | Rating: 4.5
A bill-splitting calculator is a small project, but it gives you a reason to use variables, input and arithmetic together. That is the appeal of Coddy’s Python course: the concepts lead into programs you can build as you learn. You write and run Python in your browser, so there is nothing to install before the first lesson.
The course starts with Python fundamentals, then moves into logic, data collections and object-oriented programming, with projects such as a daily expense tracker and a contact book. Lessons include explanations, coding challenges and quizzes, and if you get stuck you can ask for an AI hint. You also receive a free, verifiable certificate for each section you finish.
What will you learn?
- Python Basics: Variables, data types, operators, conditions, loops and functions.
- Program Logic: Combine comparisons, Boolean operators, conditions, and loops to create practical programs that respond to different inputs.
- Collections: Store and process related values efficiently with lists, dictionaries, sets, strings, and other common Python data structures.
- Object-Oriented Code: Organize reusable programs clearly with classes, objects, methods, inheritance, and structured relationships between different software components.
- Practical Projects: Apply each section through calculators, trackers, contact books, quizzes, and other small programs built from scratch.
Pricing:
The course and section certificates are free. Daily energy limits apply on the free plan; optional paid upgrades are available.
5) Python 3 Programming Specialization (Coursera)
Specs: Duration: 3 months at 10 hours per week | Certificate on Completion: Yes | Level: Beginner | Courses: 5 | Rating: 4.8
Python 3 Programming from the University of Michigan is a five-course specialization that starts with variables and loops and builds to lambda expressions, object-oriented programming, and working with APIs and third-party libraries. The final course applies those skills in a project using the Pillow, Tesseract, and OpenCV libraries for image processing and text extraction.
It is self-paced, with video lectures, readings, practice quizzes, and programming assignments with feedback. The graded quizzes show where you need more practice before moving on.
What will you learn?
- Leveraging APIs and Libraries in Python: Python 3 supports a wide range of third-party libraries and APIs that can be integrated into your projects. It is best to use these libraries to enhance your coding workflow.
- Image Processing with Pillow: Pillow makes it easy to handle image files in Python, from opening and viewing to advanced editing. It is one of the best libraries to use for anyone working with images in Python.
- Tesseract OCR with Python: The Tesseract library allows you to extract text from images using Optical Character Recognition (OCR). This is one of the most effective tools for anyone looking to incorporate OCR into their Python projects.
- Processing Faces with Contact Sheets: Using contact sheets, you can crop and manipulate faces within images using Python. This method is great for projects involving face recognition or photo management at scale.
- Testing and Debugging: Practice identifying errors and writing automated tests to make Python programs more reliable, reusable, and easier to maintain.
Pricing:
Enroll for free
How to Enroll in the Python 3 Programming Specialization Certificate?
- Step 1) Head over to the Python 3 Programming Specialization course page on Coursera.
- Step 2) Tap the “Enroll for Free” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Python 3 Programming Specialization content.
6) Crash Course on Python (Coursera)
Specs: Duration: 2 weeks at 10 hours per week | Certificate on Completion: Yes | Level: Beginner | Modules: 5 | Rating: 4.8
Crash Course on Python from Google is a beginner course for learners who want to write practical scripts. It covers Python syntax, functions, loops, strings, lists, dictionaries, and Python objects. Interactive exercises and real-world examples demonstrate how different programming structures work together to solve practical problems. No previous programming experience is required.
What will you learn?
- Data Types and Values in Python: Python provides several data types, including strings, integers, and lists. Understanding how values are stored and processed is key to mastering Python programming.
- Using Conditionals and Operators: Conditionals and operators are central to controlling the flow of Python programs. This is the best way to add logic to your code.
- Function Definition in Python: Functions are blocks of reusable code that perform specific tasks. It is one of the most effective ways to manage complex programs.
- Object-Oriented Programming with Classes: Python’s object-oriented features allow you to group related functionality into classes. This is a crucial concept for anyone working on larger, more complex Python projects.
- Error Handling in Python: Exception handling allows you to manage errors and prevent crashes in your programs. It’s essential for making Python programs robust and user-friendly.
Pricing:
Enroll for free
How to Enroll in the Crash Course on Python by Google?
- Step 1) Head over to the Crash Course on Python by Google course page on Coursera.
- Step 2) Tap the “Enroll for Free” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Crash Course on Python by Google content.
7) Python for Data Science, AI & Development (Coursera)
Specs: Duration: 2 weeks at 10 hours per week | Certificate on Completion: Yes | Level: Beginner | Modules: 5 | Rating: 4.6
Python for Data Science, AI & Development from IBM teaches Python to complete beginners with a focus on data work. Its five modules cover Python basics, data structures, working with files, pandas and NumPy, and collecting data through APIs and web scraping.
Hands-on labs and 22 graded assignments give instant feedback, and subtitles are available in several languages. No prior programming experience is required.
What will you learn?
- Python Programming Fundamentals: You’ll master Python basics including data types, variables, loops, and functions. Understanding Python syntax and structure is essential for anyone looking to work in data science or AI development.
- Data Structures and Collections: The course covers Python’s built-in data structures like lists, dictionaries, sets, and tuples. This knowledge is fundamental for data science applications where you’ll work with large datasets regularly.
- Working with APIs and Web Services: You’ll learn how to connect to APIs and retrieve data from web services using Python. This is essential for modern data science workflows.
- Data Analysis with Pandas: The course introduces you to the Pandas library for data manipulation and analysis. Pandas lets you clean, transform, and analyze structured data efficiently. This library is crucial for anyone working with structured data.
- NumPy and File Processing: Learn to use NumPy arrays and read, write, and process CSV, JSON, and text files with Python.
Pricing:
Enroll for free
How to Enroll in the Python for Data Science, AI & Development Course?
- Step 1) Head over to the Python for Data Science, AI & Development course page on Coursera.
- Step 2) Tap the “Enroll for Free” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Python for Data Science, AI & Development content.
8) Complete Python Bootcamp From Zero to Hero in Python (Udemy)
Specs: Duration: 22 hours 23 minutes | Certificate on Completion: Yes | Level: Beginner to intermediate | Lectures: 170 | Rating: 4.6
The Complete Python Bootcamp by Jose Portilla teaches Python from the basics through object-oriented programming, decorators, and the collections module. Its 170 lectures include projects such as Tic Tac Toe and Blackjack games, and the course uses both Jupyter Notebooks and .py files.
No prior programming experience is required. The course includes coding exercises, lifetime access on mobile and TV, and a certificate of completion, and it covers both Python 2 and Python 3.
What will you learn?
- Creating Games with Python: Developing games like Tic Tac Toe and Blackjack allows you to apply Python concepts in an entertaining way. Through these projects, you will learn essential skills such as handling user input, implementing game logic, and using control flow to structure your program.
- Advanced Python Features: Python’s advanced features, such as the collections module, provide specialized data structures that help manage complex data more efficiently. Learning to use tools like namedtuples, defaultdict, and Counter will allow you to solve real-world programming problems with less code and greater flexibility. These features are a great way to streamline your code and improve performance.
- Creating GUIs in Jupyter Notebook: Learning to create graphical user interfaces (GUIs) within Jupyter Notebooks enables you to design Python applications that are interactive and easy to use. GUIs add elements like buttons, text fields, and menus to your programs, creating a better experience for users.
- Understanding Python from the Ground Up: Starting from the basics, understanding Python’s syntax, data types, and control structures will give you a solid foundation in programming. This is the easiest way to learn Python and ensure that you have the essential knowledge needed to progress to more complex topics.
- Object-Oriented Programming (OOP): Object-Oriented Programming with classes is a powerful way to structure Python code. By creating classes and objects, you can design reusable and maintainable software, which is essential for larger projects. It helps you organize your code in a way that reflects real-world concepts and enhances modularity and scalability in your programs.
Pricing:
$29.99 for a course with 30-Day Money-Back Guarantee
How to Enroll in the Complete Python Bootcamp Course?
- Step 1) Head over to the Complete Python Bootcamp course page on Udemy.
- Step 2) Tap the “Enroll Now” button and create an account with your email.
- Step 3) Dive into the course by starting your learning experience with the Complete Python Bootcamp content.
What is Python?
Python is a general-purpose programming language known for readable syntax and a large ecosystem of libraries. Developers use it for automation, web applications, data analysis, artificial intelligence, scientific computing, testing, and education. Its interpreted workflow lets beginners run code quickly, while experienced programmers can build substantial systems with frameworks and specialized packages.
Beginners can use our Python tutorials to review syntax and examples alongside a structured course. A course provides sequencing, exercises, and feedback, while tutorials make it easier to revisit one topic when a function, collection, or programming concept needs more practice.
How Did We Choose the Best Python Courses?
At Guru99, we are committed to providing credible, accurate, and relevant information. We compared the curricula, learning formats, durations, ratings, prerequisites, projects, certificate terms, and enrollment options published by each provider. This article explains the strengths, limitations, and intended audience of each course to help you choose the best Python course for your experience, goals, and schedule.
- Expert Instructors: We chose courses taught by experienced professionals to ensure high-quality instruction and industry relevance.
- Comprehensive Curriculum: We made sure to shortlist courses with a well-structured curriculum covering basic to advanced Python concepts.
- Student Feedback: Our team chose courses based on positive student reviews and high ratings from learners worldwide.
- Hands-On Practice: We selected Python courses that emphasize practical exercises and projects to ensure real-world application.
- Completion Certificate: We checked whether each course provides a shareable certificate and whether paid certificate access is required.
Why is Learning Python Important?
Learning Python is useful because one language can support many technical paths. A beginner can start with small scripts, then move into data analysis, web development, machine learning, testing, or system automation without changing the basic language. Its readable syntax also lets learners focus on programming logic instead of spending most of their effort on punctuation and boilerplate.
Python knowledge alone does not guarantee a job. Employers also look for problem-solving ability, project experience, debugging skills, version control, and relevant libraries. Choose a course that includes coding assignments or projects, then publish several small programs that demonstrate what you can build and explain.
Is Python Hard to Learn?
Python is generally approachable for beginners because its syntax is comparatively readable and a useful program can be written with little setup. The difficult part is not memorizing keywords. It is learning how to break a problem into steps, select the right data structure, trace program execution, and debug unexpected results.
Start with variables, conditionals, loops, functions, and collections. Write code during every study session instead of only watching videos. Small projects such as a calculator, file organizer, expense tracker, or quiz provide enough complexity to reveal gaps without overwhelming a new learner.
Can I Learn Python with No Programming Experience?
Yes. Introduction to Python Programming, Python for Everybody, Learn Python with Coddy, Python 3 Programming, Crash Course on Python, the IBM course, and Complete Python Bootcamp all accept beginners. A basic ability to use files, folders, a browser, and a text editor is enough for most starting lessons.
Applied Data Science with Python is the exception in this list. The provider recommends basic Python or programming experience because its first course begins with data manipulation and statistics rather than a full introduction to coding. Complete one beginner course first if those concepts are unfamiliar.
Is It Worth Paying for a Python Course?
A paid Python course can be worthwhile when it provides a clear learning sequence, graded exercises, substantial projects, instructor support, or a certificate you need. Payment does not automatically make a course better, and many platforms let learners preview materials or begin enrollment before choosing a paid certificate path.
Compare the curriculum with your goal before paying. A data science learner needs statistics and libraries such as pandas, while an automation learner benefits from scripting, files, application interfaces, and error handling. Choose the smallest course that closes the skills gap you can clearly identify.
How Long Does It Take to Learn Python?
You can understand basic Python syntax within a few weeks of regular practice, but using the language independently takes longer. A learner who writes code consistently may become comfortable with variables, loops, functions, and collections within one or two months. Data science, web development, automation, or interview preparation requires additional study.
Course duration is only a planning estimate. Progress depends on prior experience, study consistency, exercise difficulty, and how often you build without following a solution. Measure progress by the programs you can design, debug, and explain, not only by completed videos or certificates.
