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    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
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Construction Scheduling

      Skills you'll gain: Project Schedules, Project Risk Management, Scheduling, Construction Management, Timelines, Lean Methodologies, Construction, Project Management Software, Work Breakdown Structure, Resource Allocation, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Market Risk Management: Frameworks & Strategies

      Skills you'll gain: Risk Management, Risk Modeling, Financial Market, Derivatives, Investment Management, Portfolio Management, Risk Analysis, Market Data, Equities, Asset Management, Capital Markets, Estimation, Financial Modeling, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      168 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Tools for Analyze

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Lean Methodologies, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Systems Of Measurement, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      589 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Business Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      165 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution

      4.9
      Rating, 4.9 out of 5 stars
      ·
      796 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…567…18

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

    • Introduction to Data Science in Python: University of Michigan
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Construction Scheduling: Columbia University
    • Market Risk Management: Frameworks & Strategies: New York Institute of Finance
    • Six Sigma Tools for Analyze: Kennesaw State University
    • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
    • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
    • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
    • Business Analytics: Campus BBVA
    • Improving your statistical inferences: Eindhoven University of Technology

    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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