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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

      Universidad de los Andes

      Ciencia de datos​

      Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      512 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Linear Regression for Business Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • T

      The University of Hong Kong

      Materials in Oral Health

      Skills you'll gain: Medical Imaging, Dentistry, Dental Procedures, Laboratory Testing, X-Ray Computed Tomography, Oral and Dental Care, Radiography, Oral Health, Computer-Aided Design, 3D Modeling, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      511 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador front-end de Meta

      Skills you'll gain: User Research, UI/UX Research, Persona (User Experience), Jest (JavaScript Testing Framework), Responsive Web Design, Design Research, Bootstrap (Front-End Framework), Version Control, User Experience Design, HTML and CSS, Unix Commands, Front-End Web Development, Usability, Web Design, React.js, Javascript, Interaction Design, Algorithms, Mobile Development, Pseudocode

      4.7
      Rating, 4.7 out of 5 stars
      ·
      475 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Understanding Prostate Cancer

      Skills you'll gain: Patient Education And Counseling, Oncology, Preventative Care, Patient Evaluation, Primary Care, Pathology, Urology, Patient Treatment, Health Care, Internal Medicine, General Medical Tests and Procedures, Treatment Planning, Laboratory Testing, Biology, Precision Medicine, Surgery, Care Management, Clinical Trials, Anatomy, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      714 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      User Experience: Research & Prototyping

      Skills you'll gain: Design Research, User Experience Design, User Research, Prototyping, Human Centered Design, User Centered Design, Usability Testing, Qualitative Research, Innovation, Creativity, Storyboarding, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      905 reviews

      Mixed · 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

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Certified Ethical Hacking (v12)

      Skills you'll gain: Cloud Security, Penetration Testing, Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Malware Protection, Cybersecurity, Threat Modeling, Cloud Computing, Mobile Security, Cyber Security Assessment, Cyber Attacks, Security Testing, Cloud Services, Threat Detection, Cloud Infrastructure, Information Systems Security, Intrusion Detection and Prevention, Cyber Threat Intelligence, Firewall, Incident Response

      4.7
      Rating, 4.7 out of 5 stars
      ·
      204 reviews

      Intermediate · Specialization · 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

    • 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
      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 Alberta

      Reviews & Metrics for Software Improvements

      Skills you'll gain: Sprint Retrospectives, Scrum (Software Development), Software Technical Review, Code Review, Agile Project Management, Software Quality Assurance, Agile Methodology, User Story, Debugging, Issue Tracking, Requirements Analysis, Usability Testing, User Research, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Ciencia de datos​: Universidad de los Andes
    • Linear Regression for Business Statistics: Rice University
    • Materials in Oral Health: The University of Hong Kong
    • Desarrollador front-end de Meta: Meta
    • Understanding Prostate Cancer: Johns Hopkins University
    • User Experience: Research & Prototyping: University of California San Diego
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Certified Ethical Hacking (v12): LearnKartS
    • Privacy and Standardisation: EIT Digital
    • Problem Solving, Python Programming, and Video Games: University of Alberta

    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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