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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, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      623 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Critical Thinking, Basic Descriptive Statistics, Data Analysis, Statistical Tests, Probability Distribution, Problem Solving, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

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

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Tests, Basic Descriptive Statistics, Critical Thinking, Probability Distribution, Decision Making

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

      Mixed · Course · 1 - 4 Weeks

    • T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Microsoft Excel, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAS

      Statistical Thinking for Industrial Problem Solving, presented by JMP

      Skills you'll gain: Exploratory Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Data Visualization, Regression

      4.9
      Rating, 4.9 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Q

      Queen Mary University of London

      Hypotheses Testing in Econometrics

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

      3.7
      Rating, 3.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google

      The Power of Statistics

      Skills you'll gain: General Statistics, Probability Distribution, Python Programming, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      700 reviews

      Advanced · Course · 1 - 3 Months

    • Placeholder
      S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, SAS (Software), Statistical Analysis, Statistical Programming, Statistical Tests, Statistical Visualization, Basic Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Tests, Statistical Analysis, Probability Distribution, Basic Descriptive Statistics, R Programming, Statistical Programming, Statistical Visualization

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

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      790 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      508 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to hypothesis testing

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    1234…54

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

    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Introduction to Statistics: Stanford 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
    • Hypothesis Testing with Python and Excel: Tufts University
    • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
    • Hypotheses Testing in Econometrics: Queen Mary University of London
    • The Power of Statistics: Google
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Inferential Statistics: Duke University

    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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