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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


Popular Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google

    Foundations of Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.9K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    3.3
    Rating, 3.3 out of 5 stars
    ·
    106 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Semiconductor Physics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    301 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Parallel Computing with MPI

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    189 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    759 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference 2

    3.3
    Rating, 3.3 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

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

  • Probabilistic Graphical Models: Stanford University
  • Foundations of Data Science: Google
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Google Advanced Data Analytics Capstone: Google
  • Causal Inference: Columbia University
  • Semiconductor Physics: University of Colorado Boulder
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Parallel Computing with MPI: University of Colorado Boulder
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

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