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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
      J

      Johns Hopkins University

      Visualizing Data in the Tidyverse

      Skills you'll gain: Ggplot2, Plot (Graphics), Statistical Visualization, Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Histogram, Animations, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Dashboard Development with Shiny: GenAI for Retail Analysis

      Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Presentation, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Web Applications, Data Import/Export

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Using Descriptive Statistics to Analyze Data in R

      Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistical Methods, Data Manipulation, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Social Determinants of Health

      Skills you'll gain: Health Disparities, Health Equity, Health Policy, Systems Thinking, Public Health, Community Health, Data Analysis, Socioeconomics, Social Sciences, R Programming, Data Visualization, Data-Driven Decision-Making, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • E

      Emory University

      Reproducible Templates for Analysis and Dissemination

      Skills you'll gain: Rmarkdown, Knitr, Technical Documentation, Document Management, Technical Writing, R Programming, YAML, Hypertext Markup Language (HTML), File Management, GitHub, Cascading Style Sheets (CSS), Git (Version Control System), Version Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Sungkyunkwan University

      The Fundamental of Data-Driven Investment

      Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Regression Analysis, Data Manipulation, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • E

      Erasmus University Rotterdam

      Necessary Condition Analysis (NCA)

      Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Building Data Visualization Tools

      Skills you'll gain: Ggplot2, Data Visualization Software, Datamaps, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Histogram, Graphic and Visual Design, R Programming, Geographic Information Systems, Software Development

      3.9
      Rating, 3.9 out of 5 stars
      ·
      158 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      مجموعة أدوات عالم البيانات

      Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Transformation, Data Science, Data Analysis, Data Manipulation, R Programming, Collaborative Software, Software Installation, Command-Line Interface

      4.7
      Rating, 4.7 out of 5 stars
      ·
      107 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

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    1…11121314

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

    • Visualizing Data in the Tidyverse: Johns Hopkins University
    • Dashboard Development with Shiny: GenAI for Retail Analysis: Coursera Project Network
    • Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
    • Introduction to Social Determinants of Health: University of Minnesota
    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Reproducible Templates for Analysis and Dissemination : Emory University
    • The Fundamental of Data-Driven Investment: Sungkyunkwan University
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
    • Building Data Visualization Tools: Johns Hopkins 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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