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Programming Courses

Master programming for software development. Learn various programming languages, algorithms, and problem-solving techniques.


Find the best Programming course for your goals


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    233K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Code Yourself! An Introduction to Programming

    Skills you'll gain: Software Engineering, Programming Principles, Animation and Game Design, Software Development, Software Design, Event-Driven Programming, Computer Programming, Computational Thinking, Debugging, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Computational Thinking, Computer Science, Algorithms, Animations, Simulations, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Pseudocode, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming in Python

    Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Development Testing, Test Driven Development (TDD), Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging, Algorithms, Django (Web Framework), Cloud Hosting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming with JavaScript

    Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Web Applications, Object Oriented Programming (OOP), Scripting Languages, Event-Driven Programming, Node.JS, Scripting, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Program Development, Front-End Web Development, Functional Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Programming with Google Go

    Skills you'll gain: Go (Programming Language), Back-End Web Development, Object Oriented Programming (OOP), System Programming, Debugging, Algorithms, OS Process Management, Functional Design, Computer Programming Tools, Data Access, Data Structures, Software Design, Operating Systems, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone: Programming Fundamentals

    Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, DevOps, Large Language Modeling, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Development Testing, Software Testing, Maintainability, Command-Line Interface, Prometheus (Software), Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    254 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, Web Applications, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Manipulation, Data Analysis, Web Servers, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    C Programming for Everybody

    Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, Computer Architecture, Java, Performance Tuning, Unix, Computer Science, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    196 reviews

    Intermediate · Specialization · 3 - 6 Months

Programming learners also search

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1234…352

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

  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Code Yourself! An Introduction to Programming: The University of Edinburgh
  • Computer Science: Programming with a Purpose: Princeton University
  • Introductory C Programming: Duke University
  • Programming in Python: Meta
  • Programming with JavaScript: Meta
  • Programming with Google Go: University of California, Irvine
  • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
  • Programming Fundamentals: Duke University
  • Rust Programming: Duke University

Frequently Asked Questions about Programming

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

  • Python for Data Science, AI & Development: IBM
  • Code Yourself! An Introduction to Programming: The University of Edinburgh
  • Computer Science: Programming with a Purpose: Princeton University
  • Programming in Python:Meta
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Data Analysis with R Programming: Google
  • Programming Fundamentals: Duke University‎

Programming courses on Coursera provide learners with essential skills that are fundamental to various computing tasks and technology careers, including:

  • Understanding basic to advanced concepts of programming languages such as Python, Java, and C++
  • Writing clean, efficient, and error-free code
  • Developing algorithms to solve problems and perform data analysis
  • Applying object-oriented programming (OOP) principles to organize software design
  • Using version control systems like Git to manage code changes
  • Developing web and mobile applications
  • Implementing security best practices in software development‎

Coursera's programming courses are designed to meet learners at their point of need, regardless of their prior experience:

  • Beginners: No prior experience is necessary. Introductory courses start with the basics of programming and build foundational skills.
  • Intermediate Learners: Some understanding of basic programming concepts is helpful. Courses focus on more complex aspects of programming and software development.
  • Advanced Learners: For those with solid programming experience, advanced courses explore specialized areas like software engineering, advanced data structures, and complex algorithmic challenges. ‎

Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development:

  • Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies.
  • Professional Certificates: These certificates are intended to prepare you for specific technology roles by combining coursework that builds a comprehensive skill set.
  • Specializations: These are focused on particular areas of programming and are designed to provide in-depth knowledge and practical skills that can be beneficial in the tech industry. ‎

Mastering programming opens up a wide array of career opportunities across multiple industries, including:

  • Software Developer: Building and maintaining software systems.
  • Web Developer: Creating and optimizing websites and web applications.
  • Mobile App Developer: Designing applications for iOS and Android devices.
  • Systems Engineer: Ensuring that complex, multi-part systems function properly together.
  • Data Analyst: Analyzing data to help companies make informed decisions.
  • DevOps Engineer: Bridging the gap between development and operations in software production.‎
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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