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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
      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
      ·
      290 reviews

      Intermediate · Specialization · 1 - 3 Months

    • 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

    • U

      University of Toronto

      Learn to Program: Crafting Quality Code

      Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Unit Testing, Python Programming, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      728 reviews

      Mixed · Course · 1 - 3 Months

    • 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

    • 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: Free Trial
      Free Trial
      J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      149 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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, Code Review, React.js, 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

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Hardware Description Languages for FPGA Design

      Skills you'll gain: System Design and Implementation, Verification And Validation, Computer Engineering, Programming Principles, Development Testing, Simulations, Hardware Architecture, Functional Testing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      599 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      Olay

      Introduction to Cosmetic and Skincare Science

      Skills you'll gain: Product Testing, Laboratory Testing, Personal Care, Safety Assurance, Chemistry, Microbiology, Biology, Product Development, Regulatory Compliance, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      245 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Functional Program Design in Scala

      Skills you'll gain: Scala Programming, Software Design, Software Design Patterns, Functional Design, Event-Driven Programming, Java, Programming Principles, Performance Tuning, Data Structures, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      A Complete Reinforcement Learning System (Capstone)

      Skills you'll gain: Reinforcement Learning, Solution Architecture, Artificial Intelligence, Performance Testing, Artificial Neural Networks, Machine Learning Algorithms, Markov Model, Algorithms, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Digital Health: Imperial College London
    • Product Analytics and AI: University of Virginia
    • Learn to Program: Crafting Quality Code: University of Toronto
    • Python Project: Software Engineering and Image Manipulation: University of Michigan
    • Advanced Embedded Linux Development: University of Colorado Boulder
    • GPU Programming: Johns Hopkins University
    • Front-End Developer Capstone : Meta
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Hardware Description Languages for FPGA Design: University of Colorado Boulder
    • Introduction to Cosmetic and Skincare Science: Olay

    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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