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    Free Courses

    Free courses can help you learn new skills, explore topics of interest, and take the first step toward your personal or professional goals—without financial commitment.

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    Find the Best Free Course for Your Goals

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Finance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Alberta

      Science Literacy

      Skills you'll gain: Scientific Methods, General Science and Research, Research Methodologies, Research, Research Design, Peer Review, Experimentation, Statistical Methods, Media and Communications, Correlation Analysis, Probability & Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      264 reviews

      Beginner · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Materials Data Sciences and Informatics

      Skills you'll gain: Dimensionality Reduction, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Information Management, Data Processing, Manufacturing Processes, Engineering Analysis, Process Engineering, Big Data, Chemical Engineering, Predictive Modeling, Innovation, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      347 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Columbia University

      Decision Making and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Columbia University

      Causal Inference

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Estimation, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation, Decision Making

      3.4
      Rating, 3.4 out of 5 stars
      ·
      99 reviews

      Advanced · Course · 1 - 3 Months

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    1…678…18

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

    • Inferential Statistics: Duke University
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • An Intuitive Introduction to Probability: University of Zurich
    • Science Literacy : University of Alberta
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Materials Data Sciences and Informatics: Georgia Institute of Technology
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Decision Making and Reinforcement Learning: Columbia University
    • Probabilistic Graphical Models 2: Inference: Stanford University

    Why Learn with Free Courses?

    Free courses offer an accessible way to explore new topics, build skills, and learn from top institutions—without financial commitment. They can help you discover interests, gain practical knowledge, and take the first step toward larger learning goals. Whether you're starting fresh or advancing existing skills, free learning options give you the freedom to grow on your terms.

    Frequently Asked Questions about Free

    Coursera offers thousands of free courses across topics like data science, business, health, computer science, personal development, and more. While you can explore lectures and course content at no cost, some features—like assessments and certificates—may require payment.‎

    Yes, but certificates are typically not included in the free version of a course. To earn a certificate, you’ll usually need to pay for the course or apply financial aid if available. You can still learn all the material for free through audit mode.‎

    To start a course for free, choose the “Audit the course” or “Enroll for free” option during sign-up. This lets you access video lectures and some assignments without payment. Look for courses labeled as “Free” or those that offer a free audit option.‎

    Auditing a course gives you free access to the learning materials, like videos and reading content. Paying for a course unlocks graded assignments, assessments, and a certificate upon completion—which may be useful for showcasing your skills or professional development.‎

    Yes, many free courses are taught by instructors from top institutions like Stanford, Yale, University of Pennsylvania, and companies like IBM. These courses offer an accessible way to learn from leading educators and professionals around the world.‎

    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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