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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

    • R

      Rice University

      Fundamentals of Immunology: Innate Immunity and B-Cell Function

      Skills you'll gain: Anatomy, Infectious Diseases, Life Sciences, Medical Terminology, Medical Science and Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Software Testing, Technical Documentation, Dependency Analysis, Software Development Tools, Debugging, Development Environment, Code Review, Maintainability, Generative AI, Software Engineering, Application Security, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Novartis

      Drug Hunting: The Science of Making New Medicines

      Skills you'll gain: Clinical Trials, Pharmaceuticals, Patient Safety, Clinical Research, Competitive Intelligence, Medication Administration, Safety Assurance, Medical Science and Research, Bioinformatics, Healthcare Industry Knowledge, Risk Analysis, Process Development, New Product Development, Product Development, Regulatory Compliance, General Science and Research, Infectious Diseases, Product Testing, Science and Research, Manufacturing Processes

      4.8
      Rating, 4.8 out of 5 stars
      ·
      166 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      446 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Introduction to User Experience Principles and Processes

      Skills you'll gain: UI/UX Research, User Experience Design, User Experience, User Research, User Centered Design, Interaction Design, Prototyping, Usability Testing, Usability, Design Thinking, Human Computer Interaction, Human Factors

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Optimizing a Website for Google Search

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Content Strategy, Competitive Analysis, Forecasting, Digital Marketing, Expectation Management, Relationship Management, Content Marketing, Marketing Strategy and Techniques, A/B Testing, Key Performance Indicators (KPIs), Performance Metric, Auditing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Android App Development

      Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Maintainability, Software Design Patterns, Test Automation, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Development Testing, Software Testing, Testability, Software Engineering, Secure Coding, Java, Application Security, Test Case

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Marketing Analytics with Meta

      Skills you'll gain: A/B Testing, Marketing Analytics, Advertising Campaigns, Campaign Management, Data Presentation, Presentations, Marketing, Marketing Effectiveness, Advertising, Marketing Strategies, Facebook, Data-Driven Decision-Making, Data Analysis, Brand Awareness, Performance Metric, Key Performance Indicators (KPIs), Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      225 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Secure Software Design

      Skills you'll gain: Database Design, Software Design, Application Security, Vulnerability Assessments, Unified Modeling Language, Unit Testing, Threat Modeling, Usability Testing, User Interface and User Experience (UI/UX) Design, Vulnerability Management, Databases, Software Architecture, Secure Coding, Software Design Patterns, Systems Design, Software Engineering, Software Development Tools, Software Development Life Cycle, Technical Design, Security Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      435 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Virginia

      Design Thinking for the Greater Good: Innovation in the Social Sector

      Skills you'll gain: Design Thinking, Stakeholder Engagement, Innovation, Prototyping, Brainstorming, Storytelling, Human Centered Design, Ideation, Service Design, User Experience, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      414 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Sydney

      Design-Led Strategy: Design thinking for business strategy and entrepreneurship

      Skills you'll gain: Design Thinking, Innovation, New Product Development, Business Modeling, Product Design, Service Design, Product Development, Business Strategy, Business Strategies, Market Research, Corporate Strategy, User Research, User Feedback, Persona Development, Product Testing, Customer Insights

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Fundamentals of Immunology: Innate Immunity and B-Cell Function: Rice University
    • Team Software Engineering with AI: DeepLearning.AI
    • Drug Hunting: The Science of Making New Medicines: Novartis
    • MLOps | Machine Learning Operations: Duke University
    • Introduction to User Experience Principles and Processes: University of Michigan
    • Optimizing a Website for Google Search: University of California, Davis
    • Android App Development: Vanderbilt University
    • Marketing Analytics with Meta: Meta
    • Secure Software Design: University of Colorado System
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder

    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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