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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
      A

      American Psychological Association

      Measures of Variability

      Skills you'll gain: Box Plots, Descriptive Statistics, Histogram, Probability & Statistics, Plot (Graphics), Graphing, Statistical Visualization, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      파이썬의 데이터 과학 소개

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

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Probability & Statistics, Research Design, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Inferenzstatistik

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      파이썬의 응용 소셜 네트워크 분석

      Skills you'll gain: Network Analysis, Graph Theory, Predictive Analytics, Telecommunications, Pandas (Python Package), Matplotlib, Algorithms, Probability & Statistics, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, Data Analysis, Probability & Statistics, Data Collection, Statistical Analysis, Probability, R Programming, Statistics, Statistical Methods, Data Science, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Exploration et production de données pour les entreprises

      Skills you'll gain: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Untersuchen und Erstellen von Daten für Unternehmen

      Skills you'll gain: Data Literacy, Data Presentation, Microsoft Excel, Sampling (Statistics), Statistics, Descriptive Statistics, Statistical Analysis, Data Analysis, Statistical Inference, Probability & Statistics, Probability Distribution

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Scientific Visualization, Systems Analysis, Data Literacy, Data Analysis Software, R Programming, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding Data: Navigating Statistics, Science, and AI

      Skills you'll gain: Histogram, Generative AI, Data Literacy, Data Visualization, Data Presentation, Data Collection, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistics, Data Analysis, Data Ethics, Experimentation, Data-Driven Decision-Making, Research Design, Statistical Visualization, Research, Artificial Intelligence, Probability & Statistics, Statistical Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      From Data To Decision With AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Generative AI, Data Literacy, Statistical Analysis, Data-Driven Decision-Making, Technical Communication, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Predictive Analytics, Data Storytelling, Box Plots, Analytical Skills, Artificial Intelligence, Plot (Graphics), Forecasting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Measures of Variability: American Psychological Association
    • 파이썬의 데이터 과학 소개: University of Michigan
    • Muestreo de personas, redes y registros: University of Michigan
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Inferenzstatistik: Duke University
    • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Exploration et production de données pour les entreprises: University of Illinois Urbana-Champaign
    • Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
    • Data Science Methods for Quality Improvement: University of Colorado Boulder

    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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