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    • Statistics

    Statistics Courses Online

    Study statistics for data analysis and interpretation. Learn about descriptive statistics, probability, and inferential statistics.

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    Explore the Statistics Course Catalog

    • University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Queen Mary University of London

      Market Research

      Skills you'll gain: Qualitative Research, Proposal Development, Market Research, Research Reports, Data Collection, Research Design, Research Methodologies, Data Analysis, Statistical Hypothesis Testing, Survey Creation, Statistical Analysis, Surveys, Correlation Analysis, Quantitative Research, Research, Science and Research, Market Analysis, Focus Group, Regression Analysis, Content Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      432 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      University of North Texas

      Math Prep: College & Work Ready

      Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      282 reviews

      Beginner · Course · 1 - 4 Weeks

    • Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Lausanne

      Challenging Forensic Science: How Science Should Speak to Court

      Skills you'll gain: Criminal Investigation and Forensics, Legal Proceedings, Scientific Methods, Statistical Analysis, Report Writing, Probability & Statistics, Research, Technical Communication, Verification And Validation, Ethical Standards And Conduct

      4.9
      Rating, 4.9 out of 5 stars
      ·
      509 reviews

      Beginner · Course · 1 - 3 Months

    • University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      862 reviews

      Beginner · Course · 1 - 3 Months

    • University of Toronto

      State Estimation and Localization for Self-Driving Cars

      Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Spatial Data Analysis, Mathematical Modeling, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      835 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      931 reviews

      Beginner · Course · 1 - 3 Months

    • University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Algorithms, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      818 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      McMaster University

      Experimentation for Improvement

      Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Process Improvement and Optimization, Regression Analysis, Statistical Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      921 reviews

      Intermediate · Course · 1 - 3 Months

    • Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

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    1…242526…105

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

    • Machine Learning: Clustering & Retrieval: University of Washington
    • Market Research: Queen Mary University of London
    • Math Prep: College & Work Ready: University of North Texas
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Challenging Forensic Science: How Science Should Speak to Court: University of Lausanne
    • Combinatorics and Probability: University of California San Diego
    • State Estimation and Localization for Self-Driving Cars: University of Toronto
    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
    • Recommender Systems: University of Minnesota
    • Experimentation for Improvement: McMaster University

    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.‎

    Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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