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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
      G

      Google Cloud

      Data Transformation in the Cloud

      Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Data Visualization, Extract, Transform, Load, Data Integration, Data Processing, Data Management, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Analysis, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      One Health Investigations of Outbreaks and Spillover Events

      Skills you'll gain: Microbiology, Epidemiology, Public Health, Infectious Diseases, Investigation, Environment, Environmental Monitoring, Laboratory Testing, Anthropology, Qualitative Research, Risk Analysis, Research Methodologies, Data Collection

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

      Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Practice Exam for CompTIA ITF+ Certification

      Skills you'll gain: Information Technology, Cloud Computing, Databases, Desktop Support, Technical Support and Services, Cybersecurity, End User Training and Support, IT Infrastructure, Software Installation, Test Tools, Computer Networking, Computer Hardware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Intel

      Intel® Network Academy - Network Transformation 102

      Skills you'll gain: Cryptography, Network Security, Software-Defined Networking, Network Architecture, Virtualization, Program Development, Hardware Architecture, Virtual Machines, Open Source Technology, Performance Tuning, Cloud Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Blockchain Solution Architecture

      Skills you'll gain: Blockchain, Risk Management, Enterprise Risk Management (ERM), Risk Analysis, Business Risk Management, Governance Risk Management and Compliance, Legal Risk, Interoperability, Network Architecture, Systems Architecture, Solution Architecture, Governance, Application Security, Project Documentation, Software Architecture, Technical Documentation, Cryptography, Infrastructure Architecture, Data Storage, FinTech

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      Novartis

      Preclinical Safety

      Skills you'll gain: Patient Safety, Pharmacology, Clinical Research, Clinical Trials, Pharmaceuticals, Laboratory Testing, Risk Analysis, Regulatory Compliance

      5
      Rating, 5 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?

      Skills you'll gain: Computer Vision, Image Analysis, Performance Testing, Feature Engineering, Spatial Analysis, Supervised Learning, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks

      4.3
      Rating, 4.3 out of 5 stars
      ·
      79 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Emerging Technology, Disruption, and AI

      Skills you'll gain: Emerging Technologies, Decision Making, Technology Strategies, Business Transformation, Innovation, Strategic Thinking, Artificial Intelligence, Automation, Data Ethics, Storytelling, Probability, Scenario Testing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Adobe

      Multichannel Content Marketing

      Skills you'll gain: Cross-Channel Marketing, Content Marketing, Marketing Analytics, Data Ethics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Personalized Service, Marketing Automation, MarTech, Content Strategy, AI Personalization, Emerging Technologies, Market Research, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS: Upgrading Apps with Generative AI

      Skills you'll gain: Prompt Engineering, Application Deployment, Amazon Elastic Compute Cloud, Unit Testing, Amazon Web Services, Generative AI, Data Ethics, Application Development, DevOps, Large Language Modeling, Git (Version Control System), CI/CD, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      PrEParing: PrEP for Providers and Patients

      Skills you'll gain: Preventative Care, Patient Education And Counseling, Pharmacology, Primary Care, Medication Administration, Health Disparities, Public Health, Community Health, Health Assessment, Infectious Diseases, Laboratory Testing, Cultural Responsiveness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 3 Months

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

    • Data Transformation in the Cloud: Google Cloud
    • One Health Investigations of Outbreaks and Spillover Events: Johns Hopkins University
    • ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization: SkillUp EdTech
    • Practice Exam for CompTIA ITF+ Certification: IBM
    • Intel® Network Academy - Network Transformation 102: Intel
    • Blockchain Solution Architecture: LearnQuest
    • Preclinical Safety: Novartis
    • Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
    • Emerging Technology, Disruption, and AI: University of Illinois Urbana-Champaign
    • Multichannel Content Marketing: Adobe

    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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