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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

    • C

      Codio

      Software Testing for Developers

      Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Selenium (Software), Test Driven Development (TDD), Unit Testing, Acceptance Testing, Performance Testing, Functional Testing, Test Automation, Usability Testing, Application Programming Interface (API), User Interface (UI), Test Case, API Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Postman Tutorial: Getting Started with API Testing

      Skills you'll gain: Postman API Platform, Application Programming Interface (API), Development Environment, Software Testing, Restful API, Web Development Tools, Debugging, Authentications, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Summary Statistics in Public Health

      Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistical Analysis, Data Analysis, Sample Size Determination

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 1

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      514 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create an A/B web page marketing test with Google Optimize

      Skills you'll gain: A/B Testing, Google Analytics, Web Analytics, User Experience, Web Content, Web Analytics and SEO, Target Audience, Usability Testing, Marketing Effectiveness, Goal Setting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      107 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Probability Distribution, Probability, Epidemiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      597 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Metasploit for Beginners: Ethical Penetration Testing

      Skills you'll gain: Penetration Testing, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Assessments, Vulnerability Management, Cybersecurity, Information Systems Security, Data Ethics, Command-Line Interface, Technical Documentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      54 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Introduction to Selenium

      Skills you'll gain: Selenium (Software), Test Automation, Debugging, Scripting, Automation, Web Scraping, Software Testing, Test Case, Browser Compatibility, Cascading Style Sheets (CSS)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Usability Testing with Hotjar

      Skills you'll gain: Usability Testing, Usability, Test Tools, Test Planning, User Research, Interactive Data Visualization, Web Analytics and SEO

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Virginia

      Hypothesis-Driven Development

      Skills you'll gain: Usability Testing, Continuous Delivery, Product Testing, Agile Product Development, DevOps, Agile Methodology, User Research, User Story, Prototyping, Product Development, Lean Methodologies, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Software Testing for Developers: Codio
    • Postman Tutorial: Getting Started with API Testing: Packt
    • Summary Statistics in Public Health : Johns Hopkins University
    • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
    • Create an A/B web page marketing test with Google Optimize: Coursera Project Network
    • Understanding Clinical Research: Behind the Statistics: University of Cape Town
    • Data Science Fundamentals with Python and SQL: IBM
    • Inferential Statistics: University of Amsterdam
    • Metasploit for Beginners: Ethical Penetration Testing: Coursera Project Network
    • Introduction to Selenium: Coursera Instructor Network

    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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