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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

    • U

      University of Maryland, College Park

      Usable Security

      Skills you'll gain: Usability, Human Computer Interaction, Authentications, Security Engineering, Usability Testing, Human Factors, Information Privacy, Personally Identifiable Information, User Interface (UI) Design, Multi-Factor Authentication, User Centered Design, Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Introduction to Indoor Air Quality

      Skills you'll gain: HVAC, Cleanliness, Environmental Monitoring, Laboratory Testing, Occupational Safety and Health Administration (OSHA), Environmental Engineering, Environment Health And Safety, Thermal Management, Construction, Public Health and Disease Prevention, Microbiology, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      679 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Icahn School of Medicine at Mount Sinai

      Health Care IT: Challenges and Opportunities

      Skills you'll gain: Health Technology, Healthcare Industry Knowledge, Health Informatics, Health Care Administration, Health Care, Health Information Management, Telehealth, Electronic Medical Record, Computerized Physician Order Entry, Interoperability, Emerging Technologies, Decision Support Systems, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      494 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Investments II: Lessons and Applications for Investors

      Skills you'll gain: Investments, Portfolio Management, Finance, Return On Investment, Behavioral Economics, Equities, Financial Market, Asset Management, Performance Analysis, Income Tax, Decision Making, Benchmarking

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      870 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines

      Skills you'll gain: Molecular Biology, Biology, Biochemistry, Infectious Diseases, Microbiology, Laboratory Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Object Oriented Programming

      Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Programming Principles, Debugging, Data Structures, Computer Programming, Program Development, Algorithms, Test Data, Data Validation, User Interface (UI), Unit Testing, Data Import/Export, Data Management, Command-Line Interface, Statistical Programming

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      219 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Designing, Running, and Analyzing Experiments

      Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, A/B Testing, Statistical Hypothesis Testing, Data Analysis, UI/UX Research, R Programming, User Experience, Research Design, Human Computer Interaction, Statistical Modeling

      3.6
      Rating, 3.6 out of 5 stars
      ·
      592 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      373 reviews

      Mixed · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Intellectual Humility: Theory

      Skills you'll gain: Self-Awareness, Personal Attributes, Emotional Intelligence, Open Mindset, Cognitive flexibility, Critical Thinking, Psychology, Research, Psychological Evaluations, Surveys

      4.5
      Rating, 4.5 out of 5 stars
      ·
      372 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Concurrent Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Computer Science, Performance Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      663 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Software Engineering: Modeling Software Systems using UML

      Skills you'll gain: Requirements Analysis, Unified Modeling Language, Object Oriented Design, Functional Requirement, Data Modeling, Object Oriented Programming (OOP), Systems Development Life Cycle, System Requirements, Software Development, Software Engineering, Software Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      307 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      TDD – Desenvolvimento de Software Guiado por Testes

      Skills you'll gain: Test Driven Development (TDD), Unit Testing, JUnit, Test Automation, Software Testing, Testability, Maintainability, Software Design, Software Development, Object Oriented Programming (OOP), Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      410 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Usable Security: University of Maryland, College Park
    • Introduction to Indoor Air Quality: The Hong Kong University of Science and Technology
    • Health Care IT: Challenges and Opportunities: Icahn School of Medicine at Mount Sinai
    • Investments II: Lessons and Applications for Investors: University of Illinois Urbana-Champaign
    • Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines: Rice University
    • Object Oriented Programming: University of London
    • Designing, Running, and Analyzing Experiments: University of California San Diego
    • Statistics for Genomic Data Science: Johns Hopkins University
    • Intellectual Humility: Theory: The University of Edinburgh
    • Concurrent Programming in Java: Rice 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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