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    • Hypothesis Testing

    Hypothesis Testing Courses Online

    Study hypothesis testing for statistical analysis. Learn to formulate and test hypotheses using various statistical methods.

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    Explore the Hypothesis Testing Course Catalog

    • J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Sampling (Statistics), Probability & Statistics, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

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

      Mixed · Course · 1 - 4 Weeks

    • S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Analysis, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      165 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution, Correlation Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4K reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Data Analysis, Business Analytics, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Istio, Software Development Life Cycle, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, React Redux, Cloud Services, Django (Web Framework), Cloud-Native Computing, Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      RStudio for Six Sigma - Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Meta

      Statistics Foundations

      Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Quantitative Research, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      322 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Software Architecture, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Inferential Statistics

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Statistics, Statistical Inference, Probability, Bayesian Statistics, Statistical Programming, A/B Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      771 reviews

      Advanced · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular hypothesis testing courses

    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Introduction to Statistics: Stanford University
    • Hypothesis Testing with Python and Excel: Tufts University
    • IBM Full Stack Software Developer: IBM
    • RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
    • Statistics Foundations: Meta
    • IBM AI Developer: IBM

    Frequently Asked Questions about Hypothesis Testing

    While hypothesis might make you think of science, hypothesis testing is a mathematical process that involves testing data using statistics to see if there is enough evidence to support a hypothesis. A hypothesis is a belief or a proposed explanation for something that has not yet been backed up by evidence. Hypothesis testing takes the data gathered in an experiment, survey, or other collection of information and interprets it. The five steps of hypothesis testing are specifying the null hypothesis (the statement of no relationship between the factors involved), specifying the alternative hypothesis (the statement that there is a relationship between the factors involved), setting the significance level (the percentage of chance the alternative hypothesis will be accepted), calculating the test statistic and corresponding P-value (probability of obtaining the sample statistic), and drawing a conclusion.‎

    Learning hypothesis testing is important because it's what allows you to decide if something is true based on real data. If you're in marketing, for example, you can use hypothesis testing in consumer research to see how well your product is accepted by customers. If you're in the medical field, you can use it to see if a treatment has positive effects. An educational institution may be interested in determining if getting eight hours of sleep correlates with higher grades for its students. Hypothesis testing helps remove the likelihood of chance affecting a conclusion and instead backs it up with statistically significant data.‎

    Online courses on Coursera can help you learn how hypothesis testing applies to a variety of fields, including health care, business, artificial intelligence, psychology, social sciences, and machine learning. You can learn how to use specific statistical tools to conduct hypothesis testing, too, such as R, RStudio for Six Sigma, and Python. With online courses on Coursera, you also have the opportunity to learn the essential building blocks of hypothesis testing, which include choosing the right hypothesis testing tool and performing hypothesis tests using chi-square tests, correlation, t-tests, simple regression, logistic regression, and analysis of variance (ANOVA).‎

    Online Hypothesis Testing courses offer a convenient and flexible way to enhance your knowledge or learn new Hypothesis Testing skills. Choose from a wide range of Hypothesis Testing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Hypothesis Testing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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