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    • Statistics

    Statistics Courses Online

    Explore Statistics courses that focus on skills in data analysis, probability, and statistical modeling. Prepare for careers in data science, research, and financial analysis.

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    Explore the Statistics Course Catalog

    • Status: Free
      Free
      U

      University of Geneva

      Global Statistics - Composite Indices for International Comparisons

      Skills you'll gain: Probability & Statistics, General Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Data Analysis, General Statistics

      Postgraduate Diploma · 6 - 12 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Regression, Algebra, Correlation And Dependence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: General Statistics, Probability & Statistics, Linear Algebra, Mathematics, Algebra, Regression

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: General Statistics, Probability & Statistics, Experiment, Statistical Tests, Calculus, Linear Algebra

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: General Statistics, Probability & Statistics, Regression, Calculus, Linear Algebra

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

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      P

      Packt

      R Programming for Statistics and Data Science

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      E

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, General Statistics, Regression

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      U

      University of Minnesota

      Introduction to Predictive Modeling

      Skills you'll gain: Data Analysis, Forecasting, General Statistics, Regression, Spreadsheet Software, Statistical Analysis, Microsoft Excel, Probability & Statistics, Exploratory Data Analysis, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      124 reviews

      Mixed · Course · 1 - 4 Weeks

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      J

      Johns Hopkins University

      Data Science Decisions in Time

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Data Analysis, General Statistics, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      46 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to statistics

    Descriptive Statistics
    Inferential Statistics
    Probability Theory
    Biostatistics
    Bayesian Statistics
    Time Series Analysis
    Design of Experiments
    Regression Analysis
    1…101112…71

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

    • Global Statistics - Composite Indices for International Comparisons: University of Geneva
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • How to Describe Data: University of Michigan
    • ANOVA and Experimental Design: University of Colorado Boulder
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • R Programming for Statistics and Data Science: Packt
    • Econometrics: Methods and Applications: Erasmus University Rotterdam
    • Introduction to Predictive Modeling: University of Minnesota

    Frequently Asked Questions about Statistics

    Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data:

    • Understanding of statistical theory, including probability, distributions, and hypothesis testing.
    • Skills in applying statistical methods to real-world problems across various industries.
    • Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data.
    • Techniques for designing experiments and surveys to collect data efficiently.
    • Knowledge of regression analysis, ANOVA, and other statistical models.
    • Insights into big data analytics, including machine learning algorithms driven by statistical principles.
    • Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.‎

    Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey:

    • Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills.
    • Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications.
    • Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques. ‎

    Coursera provides various educational pathways to help validate your skills in statistics:

    • Professional certificates that can help you demonstrate your competence in statistical analysis.
    • Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics.
    • Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics.

    These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.‎

    Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors:

    • Data Analyst: Utilize statistical tools and methods to interpret data and inform business decisions.
    • Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis.
    • Biostatistician: Apply statistics to biological sciences and public health.
    • Econometrician: Use statistical techniques to study economic data and trends.
    • Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.‎
    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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