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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
      O

      Olay

      Introduction to Cosmetic Science and Ingredients

      Skills you'll gain: Laboratory Experience, Quality Control, Product Development, Packaging and Labeling, Quality Assurance, Laboratory Equipment, Prototyping, Product Quality (QA/QC), New Product Development, Statistical Process Controls, Product Design, Good Manufacturing Practices, Quality Management, Quality Management Systems, Product Testing, Laboratory Testing, Chemistry, Safety Training, Personal Care, Safety Assurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      410 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Clinical Trials Operations

      Skills you'll gain: Clinical Data Management, Clinical Trials, Sample Size Determination, Clinical Research, Data Quality, Healthcare Ethics, Quality Assurance, Data Cleansing, Regulatory Compliance, Data Integrity, Data Governance, Microsoft Excel, Statistical Reporting, Data Compilation, Data Collection, Scientific Methods, Biostatistics, Data Sharing, Statistical Analysis, Patient Safety

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Data Analysis, Sample Size Determination, Risk Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      133 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Validity and Bias in Epidemiology

      Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Research, Public Health, Correlation Analysis, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      D

      DeepLearning.AI

      DeepLearning.AI Data Analytics

      Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Visualization Software, Data Validation, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Development Processes and Methodologies

      Skills you'll gain: Software Development Methodologies, Agile Methodology, Software Engineering, Software Development Life Cycle, Requirements Analysis, Application Deployment, Agile Software Development, Systems Development, Software Architecture, Verification And Validation, Process Driven Development, Waterfall Methodology, System Requirements, Software Testing, Scrum (Software Development), Release Management, User Requirements Documents, Development Testing, Software Design, Maintainability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad ORT Uruguay

      ¡A Programar! Una introducción a la programación

      Skills you'll gain: Software Engineering, Software Testing, Programming Principles, Game Design, Computer Programming, Debugging, Computational Thinking, Scripting, Scripting Languages, Prototyping

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

      Beginner · Course · 1 - 3 Months

    • T

      The University of Sydney

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

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

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Maintainability, Debugging, Software Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Extract, Transform, Load, Database Design, Data Pipelines, Data Warehousing, Business Intelligence, Performance Testing, Data Mart, Snowflake Schema, Star Schema, Process Optimization, Data Lakes, SQL, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      645 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google UX Design (PT)

      Skills you'll gain: Adobe XD, User Experience Design, Usability Testing, Figma (Design Software), Responsive Web Design, Wireframing, Information Architecture, User Experience, Prototyping, UI/UX Research, Presentations, Design Reviews, User Story, Storyboarding, Mockups, Ideation, Software Documentation, User Research, User Centered Design, Web Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Introduction to Cosmetic Science and Ingredients: Olay
    • Clinical Trials Operations: Johns Hopkins University
    • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
    • Validity and Bias in Epidemiology: Imperial College London
    • DeepLearning.AI Data Analytics: DeepLearning.AI
    • Algorithms, Part I: Princeton University
    • Software Development Processes and Methodologies: University of Minnesota
    • ¡A Programar! Una introducción a la programación: Universidad ORT Uruguay
    • Design-Led Strategy: Design thinking for business strategy and entrepreneurship: The University of Sydney
    • Python Classes and Inheritance: University of Michigan

    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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