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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

      Summary Statistics in Public Health

      Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistical Analysis, Data Analysis, Sample Size Determination

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Debugging, Development Testing, Software Testing, Computational Thinking, Computer Programming, Data Structures, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    • I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, System Configuration, Peripheral Devices, Cybersecurity, Configuration Management, Computing Platforms, Cloud Security, Cloud Infrastructure, Security Awareness, Cloud Platforms, Network Protocols

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Virginia

      Hypothesis-Driven Development

      Skills you'll gain: Usability Testing, Continuous Delivery, Product Testing, Agile Product Development, DevOps, Agile Methodology, User Research, User Story, Prototyping, Product Development, Lean Methodologies, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Usability Testing with Hotjar

      Skills you'll gain: Usability Testing, Usability, Test Tools, Test Planning, User Research, Interactive Data Visualization, Web Analytics and SEO

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Virginia

      Digital Product Management

      Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Management, Design Thinking, Team Leadership, DevOps, Innovation, Analytics, Product Improvement, Business Analytics, Ideation, Product Lifecycle Management, Sprint Retrospectives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Inferential Statistics

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      597 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Minnesota

      Web and Mobile Testing with Selenium

      Skills you'll gain: Open Web Application Security Project (OWASP), Selenium (Software), Software Testing, Security Testing, Test Automation, Performance Testing, Functional Testing, Mobile Development Tools, Test Execution Engine, Test Planning, Application Security, Mobile Development, Performance Tuning, Browser Compatibility, Application Performance Management, Vulnerability Scanning, Continuous Deployment

      3.8
      Rating, 3.8 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Metasploit for Beginners: Ethical Penetration Testing

      Skills you'll gain: Penetration Testing, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Assessments, Vulnerability Management, Cybersecurity, Information Systems Security, Data Ethics, Command-Line Interface, Technical Documentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      54 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Inferential Statistical Analysis with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      917 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      SQL Problem Solving

      Skills you'll gain: Data Cleansing, Feature Engineering, A/B Testing, Data Quality, SQL, Data Manipulation, Data Transformation, Data Integrity, Time Series Analysis and Forecasting, Data Analysis, Predictive Analytics, Business Metrics

      3.3
      Rating, 3.3 out of 5 stars
      ·
      994 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…91011…122

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

    • Summary Statistics in Public Health : Johns Hopkins University
    • Algorithmic Toolbox: University of California San Diego
    • IBM and ISC2 Cybersecurity Specialist: ISC2
    • Hypothesis-Driven Development: University of Virginia
    • Usability Testing with Hotjar: Coursera Project Network
    • Digital Product Management: University of Virginia
    • Inferential Statistics: University of Amsterdam
    • Web and Mobile Testing with Selenium: University of Minnesota
    • Metasploit for Beginners: Ethical Penetration Testing: Coursera Project Network
    • Inferential Statistical Analysis with Python: University of Michigan

    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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