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    Free Programming Courses Online

    Try Programming for free! Enroll for free or try our 7-day free trial and discover how Programming can enhance your professional and personal life.

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    Explore the Free Programming Course Catalog

    • Placeholder
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Statistical Visualization, Tidyverse (R Package), Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Integrated Development Environments, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Software Design, Program Development, Integrated Development Environments, Data Structures, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Program Development, Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Analytics, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, Development Environment, NumPy, Algorithms, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Computational Thinking, Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      231K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: New
      New
      U

      University of California, Santa Cruz

      C, Go, and C++: A Comprehensive Introduction to Programming

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, Computational Thinking, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of California, Santa Cruz

      Coding for Everyone: C and C++

      Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Software Design, Graph Theory, Computer Science, Program Development, Computational Thinking, Artificial Intelligence, System Programming, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Web Development, Cloud Development, Integrated Development Environments, Application Development, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Kanban Principles, Development Environment, Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Software Architecture, Software Design, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Programming Principles, Scrum (Software Development)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Science, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

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    1234…21

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

    • Python for Data Science, AI & Development: IBM
    • Data Analysis with R Programming: Google
    • Learn to Program: The Fundamentals: University of Toronto
    • Introduction to Programming: Ball State University
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
    • Coding for Everyone: C and C++: University of California, Santa Cruz
    • Introduction to Software Engineering: IBM
    • Python for Everybody: University of Michigan

    Frequently Asked Questions about Free

    Coursera offers a wide range of free courses across various disciplines, enabling learners to acquire skills in:

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    These courses are designed to provide valuable educational experiences without the cost, making learning accessible to everyone. ‎

    Most free courses on Coursera are available with various access options, making them accessible to anyone interested in learning:

    • Free Courses: Directly enroll in free courses without any cost. These courses might not include all features like graded assignments or certificates.
    • Free Trials: Some courses offer a 7-day free trial for full access, including features typically reserved for paid subscriptions. After the trial, you can choose to continue with a subscription or cancel.
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    These courses are perfect for individuals looking to explore new knowledge areas or enhance existing skills without financial commitment, providing flexibility and a variety of learning opportunities. ‎

    While many free courses on Coursera provide access to the same high-quality content as paid courses, there are some limitations:

    • Certificates of Completion: Typically, free courses do not offer a free certificate of completion; however, learners can often opt to pay a fee to obtain a certificate after completing the course.
    • Audit for Free: Learners can audit most courses for free, meaning they can access all course materials without a certificate.
    • Financial Aid: For those who need a certificate but cannot afford the fee, Coursera offers financial aid in some cases.

    Certificates from Coursera can be added to your LinkedIn profile, potentially enhancing your job prospects and professional growth.‎

    Engaging in free courses on Coursera offers several benefits:

    • Skill Development: Enhance personal and professional skills at no cost.
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    • Lifelong Learning: Engage in continuous learning, which is essential for personal growth and adapting to changing job markets.
    • Flexibility: Study at your own pace and schedule without the pressure of deadlines or exams.

    Free courses are a great way to explore new interests or deepen understanding in a current field, making education accessible and flexible for everyone. ‎

    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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