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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
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Text Mining, Feature Engineering

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Image Analysis, Jupyter, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning Algorithms, Machine Learning, Computer Programming, Cloud Development, Visualization (Computer Graphics), Cloud Applications, Data Processing, Application Deployment, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    122 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Bayesian Statistics, Network Architecture, Linear Algebra, Markov Model

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera Project Network

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    218 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering AI: Neural Nets, Vision System, Speech Recognition

    Skills you'll gain: Supervised Learning, Computer Vision, Machine Learning Methods, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Statistical Machine Learning, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera Project Network

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

Python learners also search

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1234…7

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

  • Deep Learning: DeepLearning.AI
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Introduction to Computer Vision and Image Processing: IBM
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Self-Driving Cars: University of Toronto
  • Foundations of Neural Networks: Johns Hopkins University
  • Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • Semantic Segmentation with Amazon Sagemaker: Coursera Project 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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