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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
      M

      Microsoft

      Microsoft Azure Cybersecurity Tools and Solutions

      Skills you'll gain: Vulnerability Management, Azure Active Directory, Cloud Security, Distributed Denial-Of-Service (DDoS) Attacks, Penetration Testing, Generative AI, Vulnerability Assessments, Intrusion Detection and Prevention, Security Testing, Single Sign-On (SSO), Microsoft Azure, Cyber Security Policies, Security Management, Network Security, Identity and Access Management, Data Management, Authentications, System Monitoring, Data Ethics, Cybersecurity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Human Factors & Usability Engineering: Designing for Humans

      Skills you'll gain: Usability, Usability Testing, Problem Solving, Human Factors, User Experience Design, Human Computer Interaction, Human Centered Design, Critical Thinking and Problem Solving, Creativity, Kinesiology, User Research, Decision Making, Human Learning, User Interface (UI), Data Collection, Human Factors Engineering, Human Machine Interfaces, Accident Prevention, Mitigation, Physical Therapy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      O

      Olay

      Quality Control and Regulatory in Cosmetic Science

      Skills you'll gain: Quality Control, Quality Assurance, Product Quality (QA/QC), Statistical Process Controls, Good Manufacturing Practices, Quality Management, Quality Management Systems, Safety Assurance, Regulatory Affairs, Regulatory Requirements, Chemistry, Regulatory Compliance, Product Testing, Standard Operating Procedure

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Game Design Document: Define the Art & Concepts

      Skills you'll gain: Game Design, Prototyping, Software Design Documents, Visualization (Computer Graphics), Ideation, Conceptual Design, Usability Testing, Graphic and Visual Design, Peer Review, Creativity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      287 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Search and Display Advertising

      Skills you'll gain: Google Ads, Online Advertising, Pay Per Click Advertising, Digital Advertising, Contextual Advertising, Search Engine Marketing, Keyword Research, Search Engine Optimization, Advertising Campaigns, Advertising, Web Analytics and SEO, Automation, A/B Testing, Consumer Behaviour

      4.5
      Rating, 4.5 out of 5 stars
      ·
      96 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Regression and Classification

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Applied Machine Learning

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Engineering Maintainable Android Apps

      Skills you'll gain: JUnit, Unit Testing, Maintainability, Software Design Patterns, Software Testing, Test Automation, Integration Testing, Test Driven Development (TDD), Development Testing, Testability, Software Engineering, Secure Coding, Android Development, Application Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      297 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Deploying SAP on Google Cloud

      Skills you'll gain: Disaster Recovery, Data Management, Google Cloud Platform, Cloud Infrastructure, SAP Applications, Identity and Access Management, Cloud Computing, Cloud Security, Data Migration, Cloud Storage, Virtual Machines, General Networking, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Semiconductor Characterization

      Skills you'll gain: Semiconductors, Electronic Components, Failure Analysis, Electronic Systems, Image Analysis, Electronics, Laboratory Equipment, Basic Electrical Systems, Laboratory Testing, Manufacturing Processes, Electrical Engineering, Process Control, Chemistry, Laboratory Research, Data Analysis Software, Quantitative Research, Scientific Visualization, Estimation, Qualitative Research, Engineering Calculations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      81 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Microsoft Azure Cybersecurity Tools and Solutions: Microsoft
    • Human Factors & Usability Engineering: Designing for Humans: Arizona State University
    • Quality Control and Regulatory in Cosmetic Science: Olay
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Game Design Document: Define the Art & Concepts: California Institute of the Arts
    • Search and Display Advertising: University of Colorado Boulder
    • Regression and Classification: University of Colorado Boulder
    • Engineering Maintainable Android Apps: Vanderbilt University
    • Sampling People, Networks and Records: University of Michigan
    • Machine Learning for Data Analysis: Wesleyan 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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