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    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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Public Health, Quantitative Research, Science and Research, Scientific Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      643 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Data Analysis, Risk Analysis, Statistical Analysis, Analysis, Statistical Hypothesis Testing, Business Analytics, Risk Management, Business Mathematics, Statistical Inference, Statistics, Estimation, Probability & Statistics, Sampling (Statistics), Microsoft Excel

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Sampling (Statistics), Statistical Hypothesis Testing, Data Science, Regression Analysis, Exploratory Data Analysis, Probability, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Statistical Programming, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Science, Probability, Jupyter, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      812 reviews

      Advanced · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      582 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Data-Driven Decision-Making, Statistical Inference, Business Analytics, Test Planning, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Microsoft Excel, Sample Size Determination, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Scatter Plots, Statistical Methods, Correlation Analysis, Exploratory Data Analysis, Regression Analysis, Statistical Process Controls, Data Literacy, Statistical Analysis, Statistical Programming, Probability & Statistics, Statistical Software, R Programming, Data Science, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Data Presentation, Statistical Hypothesis Testing, Probability & Statistics, Statistics, Statistical Analysis, Quantitative Research, R Programming

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Security Controls, Network Security, Incident Response, Penetration Testing, Software Development Life Cycle, Computer Security Incident Management, Information Assurance, Cloud Computing Architecture, Computing Platforms, Microsoft Windows, Cyber Governance, Cloud Computing, Encryption, Data Security, Authorization (Computing), Data Storage, Application Security, Cybersecurity, Information Technology, Cryptography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Product Manager

      Skills you'll gain: Agile Software Development, Product Management, New Product Development, Product Lifecycle Management, Agile Methodology, Product Strategy, Financial Analysis, Product Roadmaps, Product Development, Product Planning, Agile Project Management, Team Performance Management, Usability Testing, Project Management Life Cycle, Innovation, Agile Product Development, Market Analysis, Stakeholder Management, Business Planning, Leadership

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Professional Certificate · 3 - 6 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 Statistics: Stanford University
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • The Power of Statistics: Google
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Hypothesis Testing with Python and Excel: Tufts University
    • RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
    • Basic Statistics: University of Amsterdam

    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.‎

    Automated hypothesis testing uses algorithms to generate, run, and evaluate statistical tests at scale—often in A/B testing, analytics, or scientific research. It reduces manual effort and speeds up decision-making using tools like Python, R, or specialized platforms. Courses like Statistics with Python from the University of Michigan on Coursera cover the foundations needed to apply automated testing methods.‎

    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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