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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

    • Status: New
      New
      G

      Google Cloud

      Intégrer des applications avec Gemini 1.0 Pro sur Google Cloud

      Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Application Development, Cloud Applications, Application Programming Interface (API), Development Testing

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Gestión y Políticas en Salud Pública

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Business Analytics, Gerontology, Health Policy, Statistical Hypothesis Testing, Healthcare Ethics, Digital Transformation, Biostatistics, Assertiveness, Telehealth, Descriptive Statistics, Health Disparities, Object Oriented Programming (OOP), Public Health, Occupational Safety and Health Administration (OSHA), Policy Analysis, Program Evaluation, Health Systems

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Salud Pública Global

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Gerontology, Statistical Reporting, Health Policy, Statistical Hypothesis Testing, Healthcare Ethics, Digital Transformation, Cloud Security, Sampling (Statistics), Assertiveness, Telehealth, Health Disparities, Object Oriented Programming (OOP), Public Health, Occupational Safety and Health Administration (OSHA), Policy Analysis, Program Evaluation, Health Systems

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, Data Compilation, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Statistics, Bayesian Statistics, Surveys, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Bases de la Salud Pública

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Health Systems, Statistical Hypothesis Testing, Health Policy, Biostatistics, Descriptive Statistics, Public Health, Health Disparities, Surveys, Preventative Care, Healthcare Ethics, Scientific Methods, Health Equity, Community Health, Chronic Diseases, Infectious Diseases, Research Design, Quantitative Research, Statistical Analysis

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Business Analytics

      Skills you'll gain: Database Design, Customer Analysis, Descriptive Analytics, People Analytics, Revenue Management, Web Scraping, Time Series Analysis and Forecasting, FinTech, Predictive Analytics, Statistical Reporting, Governance, Unsupervised Learning, Statistical Hypothesis Testing, Risk Analysis, Network Analysis, Digital Transformation, Cloud Security, Dimensionality Reduction, Sampling (Statistics), Deep Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Probability, Bayesian Statistics, Web Scraping, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: User Story, Data Ethics, Database Design, Customer Analysis, Descriptive Analytics, People Analytics, Revenue Management, Web Scraping, Time Series Analysis and Forecasting, FinTech, Predictive Analytics, Statistical Reporting, Supervised Learning, Governance, Statistical Hypothesis Testing, Risk Analysis, Network Analysis, Digital Transformation, Exploratory Data Analysis, Cloud Security

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

      Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Test Automation, Data Validation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Test Automation, Software Testing, Software Architecture, Unified Modeling Language, Version Control, Agile Project Management, Usability, Agile Software Development, Maintainability, Unit Testing, Git (Version Control System), System Testing, Acceptance Testing, Software Design, Web Content Accessibility Guidelines, Continuous Integration, Agile Methodology, Software Design Patterns, Test Planning

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Metodologías ágiles de desarrollo de software Certificado MasterTrack®

      Skills you'll gain: Test Automation, Software Testing, User Story, Agile Project Management, Usability, Agile Software Development, Platform As A Service (PaaS), Infrastructure As A Service (IaaS), Cloud Applications, Unit Testing, Scalability, System Testing, Software As A Service, Backlogs, Continuous Integration, Android Jetpack, Application Security, Authorization (Computing), Software Architecture, Kotlin

      Credit offered

      Mastertrack · 6 - 12 Months

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

    • Intégrer des applications avec Gemini 1.0 Pro sur Google Cloud: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Certificado en Gestión y Políticas en Salud Pública: Pontificia Universidad Católica de Chile
    • Magíster en Salud Pública Global: Pontificia Universidad Católica de Chile
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Certificado en Bases de la Salud Pública: Pontificia Universidad Católica de Chile
    • Magíster en Business Analytics: Pontificia Universidad Católica de Chile
    • Master of Science in Data Science (Statistics): University of Leeds
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud

    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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