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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

    • University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Systems, System Design and Implementation, Embedded Systems, Electronics Engineering, Eclipse (Software), Application Specific Integrated Circuits, Electronics, Program Development, Integrated Development Environments, Computer Architecture, Hardware Architecture, Software Development, Embedded Software, Verification And Validation, Debugging, Computer Engineering, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • California Institute of the Arts

      Game Design: Art and Concepts

      Skills you'll gain: Animation and Game Design, Game Design, Animations, Prototyping, Conceptual Design, Storytelling, Software Design Documents, Ideation, Visualization (Computer Graphics), Storyboarding, Video Game Development, Virtual Environment, Art History, Technical Design, Usability Testing, Creative Design, Design Strategies, Graphic and Visual Design, Design, Design Elements And Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • DeepLearning.AI

      Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Database Design, Software Documentation, Software Design Patterns, Database Systems, Collaborative Software, Software Testing, ChatGPT, Technical Documentation, Generative AI, Code Review, Software Architecture, System Design and Implementation, API Design, Dependency Analysis, Artificial Intelligence, Software Development Tools, Security Testing, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      529 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free
      Free

      University of Pittsburgh

      Clinical Terminology for International and U.S. Students

      Skills you'll gain: Laboratory Testing, Medical Terminology, Medication Administration, Patient Safety, Emergency and Intensive Care, Acute Care, Vital Signs, Electronic Medical Record, Chronic Diseases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Duke University

      Java Programming: Solving Problems with Software

      Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 3 Months

    • Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistics, Statistical Methods, Public Health, Probability & Statistics, Epidemiology, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Nanyang Technological University, Singapore

      Introduction to Forensic Science

      Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Investigation, Biochemistry, Pharmacology, Laboratory Testing, Pathology, Microbiology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New

      IBM

      IBM UI/UX Designer

      Skills you'll gain: User Story, UI/UX Research, Information Architecture, Wireframing, User Experience, Agile Software Development, User Centered Design, Agile Methodology, Usability, Kanban Principles, Backlogs, Usability Testing, Design Thinking, User Flows, User Experience Design, Prototyping, Sprint Retrospectives, Agile Project Management, Interaction Design, User Interface (UI) Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      McMaster University

      Experimentation for Improvement

      Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Process Improvement and Optimization, Regression Analysis, Statistical Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      921 reviews

      Intermediate · Course · 1 - 3 Months

    • Google

      Assess for Success: Marketing Analytics and Measurement

      Skills you'll gain: Media Planning, A/B Testing, Marketing Budgets, Key Performance Indicators (KPIs), Marketing Analytics, Marketing Effectiveness, Performance Measurement, Data Visualization, Google Analytics, Google Ads, Return On Investment, Spreadsheet Software, Data Presentation, Web Analytics, Online Advertising, Digital Marketing, Pivot Tables And Charts, Stakeholder Communications, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Game Design: Art and Concepts: California Institute of the Arts
    • Meta Marketing Science Certification Prep: Meta
    • Generative AI for Software Development: DeepLearning.AI
    • Clinical Terminology for International and U.S. Students: University of Pittsburgh
    • Java Programming: Solving Problems with Software: Duke University
    • Statistical Analysis with R for Public Health: Imperial College London
    • Introduction to Forensic Science: Nanyang Technological University, Singapore
    • IBM UI/UX Designer: IBM
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz

    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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