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    Unlock your potential with our diverse selection of free online courses, offering you flexible and accessible learning from esteemed university instructors and seasoned industry experts—completely free of charge.

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    Build job-relevant skills in under 2 hours with hands-on tutorials.
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    Explore the Free 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

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Python Basics

      Skills you'll gain: Debugging, Program Development, Python Programming, Data Structures, Computer Programming, Computational Logic, Computer Graphics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Probability Distribution, Python Programming, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Functional Design, Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, 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
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      715 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      G

      Google

      Crash Course on Python

      Skills you'll gain: Scripting, Python Programming, Computer Programming, Algorithms, Problem Management, Data Structures, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      M

      Meta

      Programming in Python

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: New AI skills
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Stakeholder Communications, Intrusion Detection and Prevention, Security Management, Cyber Threat Intelligence, Threat Management, Cybersecurity, Network Protocols, Cloud Security, Vulnerability Assessments, Operating Systems, File Systems, Security Controls, Debugging, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49K reviews

      Beginner · Professional Certificate · 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
      Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

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

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: New
      New
      D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Artificial Intelligence, Jupyter, Python Programming, Data Analysis, OpenAI, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API), Development Environment, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

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    1234…28

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

    • Python for Data Science, AI & Development: IBM
    • Data Analysis with Python: IBM
    • Python Basics: University of Michigan
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Learn to Program: The Fundamentals: University of Toronto
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Crash Course on Python: Google
    • Programming in Python: Meta
    • Google Cybersecurity: Google
    • Introduction to Software Engineering: IBM

    Frequently Asked Questions about Free

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

    • Technology and Computer Science: Learn programming languages, software development, cybersecurity, and more.
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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.
    • Audit for Free: You can audit many courses, which allows access to all the course materials except graded assignments. Auditing a course is a great way to learn for free without earning a certificate.
    • Enrollment: Users simply need to create a Coursera account to start enrolling in any of these options.

    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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