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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

    • 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

    • 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

    • U

      University of London

      Master of Science in Cyber Security

      Skills you'll gain: Security Management, Human Factors (Security), Infrastructure Security, Information Privacy, Key Management, Cyber Governance, Application Security, Network Security, Threat Modeling, OSI Models, Security Testing, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cryptography, ISO/IEC 27001, Penetration Testing, Malware Protection, Data Collection, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Metodologías ágiles de desarrollo de software Certificado MasterTrack®

      Skills you'll gain: Test Automation, Software Testing, Android Jetpack, User Story, Agile Software Development, Continuous Integration, Kotlin, Unit Testing, Software Architecture, System Testing, Acceptance Testing, Security Requirements Analysis, Usability, Cloud Applications, Infrastructure As A Service (IaaS), Authentications, Authorization (Computing), Web Content Accessibility Guidelines, Platform As A Service (PaaS), Angular

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Cloud Spanner について

      Skills you'll gain: Google Cloud Platform, Database Administration, Database Architecture and Administration, Database Management, Data Migration, Cloud Applications, SQL, Query Languages, Database Design, Systems Administration, Scalability

      Intermediate · Course · 1 - 3 Months

    • U

      University of London

      Bachelor of Science in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft JavaScript Starter Kit

      Skills you'll gain:

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of London

      Graduate Certificate in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Cloud-Native Computing, Reinforcement Learning, Containerization, Natural Language Processing, Serverless Computing, Computer Vision, Microservices, MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, Probability & Statistics, Control Systems, Data Ethics, Machine Learning Methods, Technical Communication, Surgery, Chemical and Biomedical Engineering

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Unsupervised Learning, Deep Learning, Network Analysis, Data Storytelling, Predictive Modeling, Data Visualization, Time Series Analysis and Forecasting, Marketing Analytics, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Data-Driven Decision-Making, Business Analysis, Descriptive Analytics, Exploratory Data Analysis, Analytics, Random Forest Algorithm, Operations Research, Stakeholder Engagement

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Ingeniería de Software

      Skills you'll gain: Unified Modeling Language, Cloud-Native Computing, Test Automation, Process Analysis, Continuous Deployment, Angular, Android Jetpack, User Story, Dashboard, Game Design, API Design, Project Closure, Ideation, Internet Of Things, Microservices, Test Planning, Security Requirements Analysis, Usability, Cloud Applications, Sprint Planning

      Earn a degree

      Degree · 1 - 4 Years

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

    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Master of Science in Cyber Security: University of London
    • Metodologías ágiles de desarrollo de software Certificado MasterTrack®: Universidad de los Andes
    • Cloud Spanner について: Google Cloud
    • Bachelor of Science in Computer Science: University of London
    • Microsoft JavaScript Starter Kit: Microsoft
    • Graduate Certificate in Computer Science: University of London
    • Graduate Diploma in Computer Science: University of London
    • Maestría en Inteligencia Artificial: Universidad de los Andes

    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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