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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

    • G

      Google Cloud

      Gemini for end-to-end SDLC - 繁體中文

      Skills you'll gain: Debugging, Web Applications, Development Testing, Application Development, Web Development, Generative AI, Software Development Life Cycle, Software Development Tools, Application Lifecycle Management, Google Cloud Platform, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      開始使用 Security Command Center Enterprise

      Skills you'll gain: Threat Detection, Threat Management, Vulnerability Management, Cloud Security, Vulnerability Assessments, Multi-Cloud, Computer Security Incident Management, Security Information and Event Management (SIEM), Enterprise Security, Cloud Services, Scenario Testing, Risk Management Framework

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud API, Cloud Applications, Cloud-Based Integration, Application Development, Application Programming Interface (API), Prompt Engineering, Large Language Modeling, Development Testing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Comprende Cloud Spanner

      Skills you'll gain: Data Migration, Database Management, Relational Databases, Google Cloud Platform, Database Architecture and Administration, Databases, Database Management Systems, Data Store, Cloud Storage, Query Languages, Database Design, Cloud Applications, Scalability, Transaction Processing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Development Tools and React

      Skills you'll gain: Maintainability, React.js, Debugging, Application Development, JavaScript Frameworks, Web Development Tools, Software Testing, Code Review, Development Testing, Secure Coding, Software Development Tools, Application Security, Software Development

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Data and Applications

      Skills you'll gain: Software Testing, Application Programming Interface (API), Ajax, Javascript, JSON, Unit Testing, Maintainability, Restful API, Debugging, Web Applications, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Unsupervised Learning, Data Mining, Supervised Learning, Service Level, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Performance Testing, Probability, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Data Pipelines, Data Processing, Probability & Statistics, Bash (Scripting Language), Data Science

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • 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

    • 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

    • 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

    • 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

    • 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, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Statistics, Bayesian Statistics, Surveys, International Finance

      Postgraduate Diploma · 6 - 12 Months

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

    • Gemini for end-to-end SDLC - 繁體中文: Google Cloud
    • 開始使用 Security Command Center Enterprise: Google Cloud
    • Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합: Google Cloud
    • Comprende Cloud Spanner: Google Cloud
    • JavaScript Development Tools and React: Microsoft
    • JavaScript Data and Applications: Microsoft
    • Data Science Graduate Certificate: University of Colorado Boulder
    • Intégrer des applications avec Gemini 1.0 Pro sur Google Cloud: Google Cloud
    • Master of Science in Data Science (Statistics): University of Leeds
    • Master of Science in Machine Learning and Data Science: Imperial College London

    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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