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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Embedded Linux Development

      Skills you'll gain: Agile Methodology, Scrum (Software Development), Embedded Systems, System Programming, Software Testing, Linux, Software Development Methodologies, Docker (Software), Git (Version Control System), Containerization, Operating Systems, File Systems, C++ (Programming Language), Shell Script, Debugging, OS Process Management, Internet Of Things, IBM WebSphere MQ, Peripheral Devices, Build Tools

      4.3
      Rating, 4.3 out of 5 stars
      ·
      143 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Python Programming Fundamentals

      Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Programming Principles, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Development Environment, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter

      4.4
      Rating, 4.4 out of 5 stars
      ·
      196 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistical Analysis Fundamentals using Excel

      Skills you'll gain: Descriptive Statistics, Regression Analysis, Forecasting, Probability Distribution, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The State University of New York

      Solar Energy System Design

      Skills you'll gain: Electrical Systems, Electrical Power, Basic Electrical Systems, Equipment Design, Energy and Utilities, Electrical Equipment, Survey Creation, System Requirements, Engineering Calculations, Performance Testing, Physical Science, Spatial Analysis, Estimation, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      452 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Digital Health

      Skills you'll gain: Health Technology, Data Visualization Software, Telehealth, Agile Methodology, Health Disparities, Health Informatics, Health Care, Health Care Procedure and Regulation, Health Systems, Electronic Medical Record, Health Information Management, Interoperability, Public Health, Epidemiology, Tableau Software, Digital Transformation, User Centered Design, Technology Strategies, Big Data, Analytics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      291 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reviews & Metrics for Software Improvements

      Skills you'll gain: Sprint Retrospectives, Scrum (Software Development), Software Technical Review, Code Review, Agile Project Management, Software Quality Assurance, Agile Methodology, User Story, Debugging, Issue Tracking, Requirements Analysis, Usability Testing, User Research, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Product Analytics and AI

      Skills you'll gain: Customer Analysis, Analytics, Business Analytics, Usability Testing, Product Management, Customer Insights, A/B Testing, Product Development, Agile Methodology, User Experience, Advanced Analytics, Data-Driven Decision-Making, Data Science, Product Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      482 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Social and Technical Context of Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Health Policy, Health Care, Healthcare Industry Knowledge, Health Information Management, Information Technology, Health Care Procedure and Regulation, System Requirements, Interoperability, Electronic Medical Record, Data Literacy, Technology Strategies, Medical Imaging, Emerging Technologies, Information Privacy

      4.3
      Rating, 4.3 out of 5 stars
      ·
      530 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Front-End Developer Capstone

      Skills you'll gain: Responsive Web Design, Front-End Web Development, Git (Version Control System), Web Content Accessibility Guidelines, User Interface and User Experience (UI/UX) Design, HTML and CSS, React.js, Code Review, Usability, Usability Testing, Web Applications, Semantic Web, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      419 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Project: Software Engineering and Image Manipulation

      Skills you'll gain: Unified Modeling Language, Software Design, Object Oriented Design, Image Analysis, Python Programming, Jupyter, Software Engineering, Application Programming Interface (API), Computer Vision, Integrated Development Environments, Debugging

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Advanced Embedded Linux Development: University of Colorado Boulder
    • Python Programming Fundamentals: Microsoft
    • Statistical Analysis Fundamentals using Excel: IBM
    • Solar Energy System Design: The State University of New York
    • Digital Health: Imperial College London
    • Reviews & Metrics for Software Improvements: University of Alberta
    • Product Analytics and AI: University of Virginia
    • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile
    • The Social and Technical Context of Health Informatics: Johns Hopkins University
    • Front-End Developer Capstone : Meta

    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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