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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 Minnesota

      Lean Software Development

      Skills you'll gain: Design Thinking, Process Mapping, Kanban Principles, Lean Methodologies, Lean Manufacturing, Agile Software Development, Workflow Management, Business Workflow Analysis, Product Development, Agile Methodology, Lean Six Sigma, Process Improvement, Software Development, Software Development Methodologies, Continuous Improvement Process, Innovation, Product Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      421 reviews

      Beginner · 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

    • U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      Privacy and Standardisation

      Skills you'll gain: Technical Standard, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Case Law, Medical Privacy, Court Systems, Telecommunications, Legal Writing, Law, Regulation, and Compliance, Legal Research, Data Ethics, European History, International Relations, Data Security, Interoperability, Cybersecurity, Emerging Technologies, World History, Civil Law

      4.4
      Rating, 4.4 out of 5 stars
      ·
      376 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Security Testing, Debugging, Maintainability, Software Engineering, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      IS/IT Governance

      Skills you'll gain: Technology Strategies, Change Management, Enterprise Architecture, Information Technology, Portfolio Management, Governance, Investment Management, Resource Allocation, Return On Investment, User Acceptance Testing (UAT), Cost Benefit Analysis, Risk Management, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Instruments and Research Hypotheses

      Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidade de São Paulo

      Estatística não-paramétrica para a tomada de decisão

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents and Agentic AI with Python & Generative AI

      Skills you'll gain: Generative AI Agents, Python Programming, Agentic systems, Generative AI, Artificial Intelligence, OpenAI, ChatGPT, Prompt Engineering, Software Development Tools, Application Development, Prototyping, Automation, Large Language Modeling, Interoperability, Systems Integration, Software Documentation, Design Strategies, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Qualitative Research

      Skills you'll gain: Focus Group, Qualitative Research, Discussion Facilitation, Survey Creation, Market Research, Research, Research Reports, Recruitment, Research Methodologies, Interviewing Skills, Recruitment Strategies, Report Writing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      458 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Basic Statistics in Python (Correlations and T-tests)

      Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Lean Software Development: University of Minnesota
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Problem Solving, Python Programming, and Video Games: University of Alberta
    • Privacy and Standardisation: EIT Digital
    • Team Software Engineering with AI: DeepLearning.AI
    • IS/IT Governance: University of Minnesota
    • Research Instruments and Research Hypotheses: Queen Mary University of London
    • Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
    • ANOVA and Experimental Design: University of Colorado Boulder
    • AI Agents and Agentic AI with Python & Generative AI: Vanderbilt University

    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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