104 online courses you can take for free on Coursera, from resume writing to how to be happier

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  • Coursera has thousands of free online courses, many of them taught by Ivy League schools or companies like Google and IBM.
  • Learners can access course materials and forums, and there’s a small fee for graded homework and certificates of completion. 
  • The courses span a range of topics, from public health to resume writing.

Whether you’re interested in coding or being happier in your daily life, you can probably learn it online — and often, completely for free.

In an effort to democratize education, e-learning platforms like Coursera have thousands of courses that require $0 to access. Students can audit a course for free, which means they can access all the lectures, readings, and discussion forums in a Coursera course. If they want, they can opt to pay a fee (from $49 to a few hundred dollars, depending on the course) for features like graded homework or a certificate of completion. 

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Taking free online courses can be a great option for those looking for an affordable alternative to traditional school, and can help learners developing new skills for a career switch or personal improvement. Many of Coursera’s offerings are in partnership with top universities like Princeton, Yale, Stanford, Columbia, and the University of Michigan, as well as companies like Google and Amazon. They also cater to a range of demographics, from high schoolers and college students to adults. 

So if you’re interested in taking an online course for free, there are tons of options through Coursera across categories like personal development, public health, computer science, arts and humanities, and more.

104 free Coursera courses:

Personal Development

  • The Science of Well-Being
  • De-Mystifying Mindfulness
  • Think Again I: How to Understand Arguments 
  • The Arts and Science of Relationships: Understanding Human Needs
  • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential
  • Healing with the Arts
  • Introduction to Personal Branding
  • Creative Problem Solving
  • Exploring Emerging Technologies for Lifelong Learning and Success 
  • Creative Thinking: Techniques and Tools for Success
  • Sit Less, Get Active
  • How to Write a Resume (Project-Centered Course)
  • Successful Career Development
  • Converting Challenges into Opportunities
  • How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course)
  • Applying to US Universities
  • How to Apply to College
  • U101: Understanding College and College Life


  • COVID-19: What You Need to Know (CME Eligible)
  • Science Matters: Let’s Talk About COVID-19
  • Psychological First Aid
  • Social Psychology
  • A Life of Happiness and Fulfillment
  • Introductory Human Physiology
  • Epidemiology: The Basic Science of Public Health
  • Essentials of Global Health
  • Ecology: Ecosystem Dynamics and Conservation
  • Epidemics, Pandemics and Outbreaks 
  • Global Health: An Interdisciplinary Overview 
  • Disaster Preparedness
  • Disease Screening in Public Health Epidemics
  • Communicating During Global Emergencies
  • Infection Prevention in Nursing Homes
  • Disease Clusters
  • The Challenges of Global Health


  • Dog Emotion and Cognition
  • Science of Exercise
  • Animal Behaviour and Welfare
  • The Truth About Cats and Dogs
  • Dino 101: Dinosaur Paleobiology
  • Bugs 101: Insect-Human Interactions

Arts and Humanities

  • Introduction to Philosophy
  • Fashion as Design 
  • Making Architecture
  • Getting Started with Music Theory
  • Big History: Connecting Knowledge
  • Guitar for Beginners 
  • The Language of Design: Form and Meaning

Computer Science

  • Introduction to Programming with MATLAB 
  • C++ For C Programmers, Part A 
  • Computer Vision Basics
  • Code Yourself! An Introduction to Programming
  • Build Your First Android App (Project-Centered Course)
  • Algorithms, Part I
  • Algorithms, Part II
  • Analysis of Algorithms
  • Computer Science: Algorithms, Theory, and Machines
  • Computer Science: Programming with a Purpose
  • Industrial IoT on Google Cloud Platform
  • Google Cloud Platform Fundamentals for AWS Professionals
  • Introduction to TCP/IP


  • First Step Korean
  • Chinese for Beginners
  • Tricky American English Pronunciation
  • Writing English at University

Physical Science, Astronomy, and Engineering

  • Fundamentals of Engineering Exam Review
  • How Things Work: An Introduction to Physics
  • Introduction to Sustainability
  • Astronomy: Exploring Time and Space
  • Introduction to Chemistry: Reactions and Ratios
  • Mountains 101
  • Introduction to Chemistry: Structures and Solutions
  • Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
  • The Science of the Solar System
  • Chemistry
  • Computer Architecture
  • How to Write and Publish a Scientific Paper (Project-Centered Course)


  • Marketing Analytics
  • The Strategy of Content Marketing
  • Personal & Family Financial Planning
  • Managing the Company of the Future 
  • Becoming a Changemaker: Introduction to Social Innovation
  • Communication Strategies in the Virtual Age
  • Design: Creation of Artifacts in Society
  • The Science of Success: What Researchers Know that You Should Know
  • Teamwork Skills: Communicating Effectively in Groups
  • New Models of Business in Society 

Cloud and Tech

  • Machine Learning for Business Professionals
  • Building Conversational Experiences with Dialogflow
  • Industrial IoT on Google Cloud Platform
  • Google Cloud Platform Fundamentals for AWS Professionals
  • Introduction to TCP/IP 
  • AWS Computer Vision: Getting Started with GluonCV
  • Introduction to Cloud Identity
  • Cloud Computing Basics (Cloud 101)
  • Developing AI Applications on Azure
  • Getting Started with AWS Machine Learning

Math, Logic, and Data Science

  • Introduction to Calculus
  • Data Science Math Skills
  • Calculus: Single Variable Part 1 – Functions
  • Calculus: Single Variable Part 2 – Differentiation
  • Calculus: Single Variable Part 3 – Integration
  • Probability and Statistics: To p or not to p?

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