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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

      IBM

      IBM COBOL Software Development Process

      Skills you'll gain: Software Development Life Cycle, z/OS, COBOL (Programming Language), Unit Testing, Systems Analysis, Systems Development, Pseudocode, Software Development Methodologies, Agile Methodology, Software Development, Software Design, Systems Architecture, Mainframe Computing, Programming Principles, Scrum (Software Development), Test Planning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Web Applications and Command-Line Tools for Data Engineering

      Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Infrastructure, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Development Environment, Test Automation, Algorithms, Virtual Environment

      4.3
      Rating, 4.3 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google UX Design (DE)

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      58 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Virginia

      Mercadeo analítico

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Return On Investment, Statistical Analysis, A/B Testing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn Typescript

      Skills you'll gain: TypeScript, Debugging, Javascript, Unit Testing, Software Design Patterns, Programming Principles, Data Structures, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Gobierno Digital

      Skills you'll gain: Cybersecurity, Data Management, Interoperability, Digital Transformation, Data Sharing, Public Administration, Governance, Public Key Infrastructure, Self Service Technologies, Identity and Access Management, Service Design, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Chi-Square Tests of Hypotheses About Frequency Tables

      Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Analytical Skills, Statistics, Psychology, Research

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      How to Build a BI Dashboard Using Google Data Studio and BigQuery

      Skills you'll gain: Dashboard, Data Import/Export, Business Intelligence, Google Cloud Platform, Data Integration, Database Development, Data Migration, Query Languages

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Science for Marketing

      Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Marketing Effectiveness, Anomaly Detection, Statistical Hypothesis Testing, Advanced Analytics, Bayesian Network

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Precast Structural System

      Skills you'll gain: Shop Drawing, Structural Engineering, Building Codes, Architectural Drawing, Construction Inspection, Building Design, Construction Engineering, Structural Analysis, Construction, Manufacturing Processes, Architectural Engineering, Construction Management, Civil Engineering, Engineering Tolerance, Engineering Practices, Engineering Software, Engineering Design Process, Engineering Calculations, Engineering Analysis, Product Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Advanced · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Fundamentals of Scientific Research Under Uncertainty

      Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

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

    • IBM COBOL Software Development Process: IBM
    • Web Applications and Command-Line Tools for Data Engineering: Duke University
    • Google UX Design (DE): Google
    • Mercadeo analítico: University of Virginia
    • Learn Typescript: Scrimba
    • Gobierno Digital: Banco Interamericano de Desarrollo
    • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • How to Build a BI Dashboard Using Google Data Studio and BigQuery: Google Cloud
    • Data Science for Marketing: University of Colorado System

    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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