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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: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Python Development

    Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Debugging, Data Cleansing, Data Analysis, Automation, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    497 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    518 reviews

    Advanced · Specialization · 3 - 6 Months

  • 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, DevOps, Data Integration, Cloud Development, SQL, Data Processing, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Role-Based Access Control (RBAC), Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    265 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Istio, Linux Commands, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Git (Version Control System), Flask (Web Framework), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Project Development in Python

    Skills you'll gain: DevOps, Agile Methodology, Docker (Software), Project Management, Technical Communication, Prometheus (Software), Business Requirements, Jira (Software), Requirements Elicitation, Python Programming, Natural Language Processing, Collaboration, Communication, Professional Networking, Interviewing Skills

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Python Scripting for DevOps

    Skills you'll gain: Containerization, Package and Software Management, Unified Modeling Language, Matplotlib, Software Testing, Docker (Software), Unit Testing, Development Testing, CI/CD, Test Automation, Data Manipulation, Pandas (Python Package), Data Visualization, Scripting, Data Modeling, DevOps, Programming Principles, Python Programming, Data Structures, Computer Programming

    4
    Rating, 4 out of 5 stars
    ·
    207 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Agile Software Development, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Code Coverage, OpenShift, Cloud Applications, Agile Methodology, Serverless Computing, Behavior-Driven Development, DevOps, Secure Coding, Grafana, System Monitoring

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    193 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    DevOps for Network Automation (NetDevOps)

    Skills you'll gain: Development Environment, Software Development Tools, Software Development Methodologies, CI/CD, DevOps, IT Automation, Version Control, Continuous Integration, Network Engineering, Network Architecture, Docker (Software), Software Development, Virtual Environment, Git (Version Control System), Waterfall Methodology, Agile Methodology, Software Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    57 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    App Dev: Deploying the Application into Kubernetes Engine - Python

    Skills you'll gain: Kubernetes, Cloud-Native Computing, Containerization, Docker (Software), Application Deployment, Google Cloud Platform, Cloud Development, Cloud Applications, DevOps, YAML, Load Balancing

    Beginner · Project · Less Than 2 Hours

Python learners also search

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python for beginners
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interactive python
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123

In summary, here are 10 of our most popular python courses

  • Microsoft Python Development: Microsoft
  • MLOps | Machine Learning Operations: Duke University
  • Snowflake Data Engineering: Snowflake
  • IBM DevOps and Software Engineering: IBM
  • Project Development in Python: Microsoft
  • Python Scripting for DevOps: LearnQuest
  • IBM Applied DevOps Engineering: IBM
  • DevOps, DataOps, MLOps: Duke University
  • DevOps for Network Automation (NetDevOps): Cisco Learning and Certifications
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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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