Python Programming

Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. Coursera's Python Programming catalogue teaches you how to use Python effectively, from its syntax to its standard libraries. You'll learn to write clean and efficient code, develop real-world applications, perform data analysis, and create machine learning algorithms using Python. This skill will equip you with the ability to master backend development, automation, data science, artificial intelligence and more. Discover the power of Python and its vital role in today's technology landscape.
134credentials
1online degree
538courses

Explore the Python Data Science Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: Cryptography, Encryption, Secure Coding, File Management, Python Programming, Mathematical Software, Programming Principles, Scripting, Algorithms, Debugging, Data Structures, User Interface (UI), UI Components, Application Development

  • Skills you'll gain: Python Programming, Scripting, Scripting Languages, Programming Principles, Computer Programming, Data Access, Data Science

  • Status: Preview

    University of Michigan

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON, Debugging

  • Status: Free Trial

    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

  • Status: Preview

    University of Michigan

    Skills you'll gain: Data Structures, Data Processing, Data Manipulation, Python Programming, File Management, Development Environment, Software Installation

  • Status: Free Trial

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

  • Skills you'll gain: Code Review, Debugging, Scripting, Python Programming, Programming Principles, Software Development

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Computer Programming, Data Import/Export, Computational Thinking, Data Structures, Animations

  • Status: Preview

    Skills you'll gain: Selenium (Software), Debugging, Software Testing, Unit Testing, Test Automation, UI Components, Web Applications, Test Case, Development Environment, Python Programming

  • Status: Free Trial

    Skills you'll gain: Matplotlib, Version Control, Text Mining, GitHub, Large Language Modeling, Django (Web Framework), Package and Software Management, Platform As A Service (PaaS), Plot (Graphics), Application Deployment, Object-Relational Mapping, Natural Language Processing, Data Visualization Software, Unit Testing, Data Visualization, Jupyter, Development Environment, LLM Application, Virtual Environment, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Software Documentation, Maintainability, Programming Principles, Software Design, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning