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Python courses can help you learn how to write code for data analysis, automation, web development, and other real-world applications.

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Find the best Python course for your goals

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Snowflake

    Snowflake Data Engineering

    Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, Data Presentation, DevOps, Data Integration, Data Infrastructure, Cloud Development, SQL, Data Processing, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    265 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Data Engineering, Application Deployment, YAML, Virtual Environment

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

    Python learners also search

    advanced python
    python for beginners
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    1

    In summary, here are 2 of our most popular python courses

    • Snowflake Data Engineering: Snowflake
    • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt

    Skills you can learn in Data Analysis

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    Frequently Asked Questions about Python

    Browse the Python courses below—popular starting points on Coursera.

    • Python for Data Science, AI & Development: IBM
    • Crash Course on Python: Google
    • Data Analysis with Python: IBM
    • Programming in Python: Meta
    • Get Started with Python: Google
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Python Basics: University of Michigan‎

    Start by identifying what you want to do with Python—whether it’s automating tasks, analyzing data, or developing web applications.

    • For general-purpose coding, try Python for Everybody by the University of Michigan.
    • If you’re focused on data science, explore Google’s Data Analytics Certificate or Applied Data Science with Python from the University of Michigan.
    • For web development, consider Web Development with Python from Microsoft. ‎

    The Crash Course on Python can be completed in 2 weeks and focuses on core topics like:

    • Python programming
    • Scripting
    • Computational thinking

    In contrast, Get Started with Python also spans 2 weeks but emphasizes:

    • Data analysis
    • Pandas (Python package)
    • Algorithms

    Both courses are Google credentialed and target data analyst roles, but Get Started with Python offers more advanced topics, including tools like SQL and Tableau, suitable for data scientists as well. Choose based on whether you need:

    • A foundational crash course
    • A broader introduction to data manipulation and analysis with Python‎

    If you're new to programming, these beginner-friendly courses are a great place to start:

    • Programming for Everybody (Getting Started with Python) – A foundational course that introduces Python syntax, variables, and loops.
    • Python 3 Programming Specialization from the University of Michigan – A more in-depth path for beginners who want to build steadily.‎
    • A course teaches a single topic, like Crash Course on Python by Google.
    • A Specialization is a series of courses that go deeper, such as the Python for Everybody Specialization.
    • A Professional Certificate prepares you for job roles and often includes portfolio projects and career support—like the Microsoft Python Development Professional Certificate.‎

    Take a short quiz to identify the best Python course based on your goals—whether you're just beginning, building scripts, analyzing data, or exploring AI and web development. Take the quiz to discover your personalized starting point.

    Want to compare top options first? Use ChatGPT to interactively explore and compare Python courses on Coursera.‎

    Yes. You can start learning Python on Coursera for free in two ways:

    • Preview the first module of many Python courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in Python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers:

    • Basic syntax and fundamentals of Python programming
    • Application of Python in data analysis, web development, and machine learning
    • Writing and debugging Python scripts and programs
    • Data visualization with libraries like Matplotlib and Seaborn
    • Use of libraries and frameworks such as Pandas, Flask, and Django
    • Automation of common system administration tasks using Python‎

    Not at all. Many Coursera Python courses are built for beginners and start with the basics. You can go at your own pace and gradually build confidence with hands-on practice.‎

    Yes. Python is one of the most in-demand programming languages in fields like data science, software development, and automation. Learning Python through Coursera can help you build real skills you can use on the job—and some courses include certificates and projects you can share with employers.‎

    A Python Turtle course teaches programming fundamentals through visual drawing using the Turtle graphics module. It’s beginner-friendly and helps learners understand loops, functions, and coordinates by creating shapes and animations. Courses like Python for Everybody by the University of Michigan on Coursera provide a solid foundation to build on with Turtle.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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