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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

      University of Colorado Boulder

      Battery State-of-Health (SOH) Estimation

      Skills you'll gain: Estimation, Matlab, Failure Analysis, Electrical Substation, Laboratory Testing, Engineering Calculations, Mathematical Modeling, Statistical Methods, Simulations, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      DevOps Capstone Project

      Skills you'll gain: DevOps, CI/CD, User Story, Microservices, OpenShift, Application Deployment, Continuous Integration, Cloud-Native Computing, Code Review, Kubernetes, Test Driven Development (TDD), Scrum (Software Development), Agile Methodology, Sprint Planning, Containerization, Restful API, Flask (Web Framework), Docker (Software), Kanban Principles, Unit Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      143 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      تصميم تجربة المستخدم من Google

      Skills you'll gain: User Experience Design, Usability Testing, Adobe XD, UI/UX Research, Figma (Design Software), User Experience, Responsive Web Design, Presentations, Information Architecture, User Story, Storyboarding, User Research, Design, Design Research, Prototyping, Persona (User Experience), User Interface and User Experience (UI/UX) Design, User Centered Design, Data Ethics, Design Reviews

      4.8
      Rating, 4.8 out of 5 stars
      ·
      144 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Clinical Trials Analysis, Monitoring, and Presentation

      Skills you'll gain: Sample Size Determination, Clinical Trials, Clinical Research, Statistical Reporting, Biostatistics, Statistical Analysis, Advanced Analytics, Data Analysis, Statistical Methods, Patient Safety, Bayesian Statistics, Data Quality, Data Presentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      69 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Technion - Israel Institute of Technology

      From Idea to Startup

      Skills you'll gain: Business Planning, Value Propositions, Entrepreneurship, Ideation, Business Strategy, New Product Development, Product Strategy, Risk Management, Innovation, Communication, Feasibility Studies, Verification And Validation, Interviewing Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      777 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon

      Data Structures and Algorithms

      Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Programming Principles, Debugging, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Software Engineering: Implementation and Testing

      Skills you'll gain: Acceptance Testing, Software Development Methodologies, Configuration Management, Debugging, Software Development Life Cycle, Software Testing, Software Engineering, Unified Modeling Language, Integration Testing, User Acceptance Testing (UAT), Unit Testing, System Implementation, Secure Coding, Test Case, Requirements Analysis, Agile Methodology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Columbia University

      HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)

      Skills you'll gain: Care Coordination, Patient Coordination, Health Informatics, Interoperability, Health Technology, Clinical Leadership, Healthcare Industry Knowledge, Health Care, Health Information Management, Primary Care, Electronic Medical Record, Telehealth, Health Policy, Public Health

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Columbia University

      Causal Inference 2

      Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      Software Development on SAP HANA

      Skills you'll gain: Data Modeling, SAP Applications, Systems Architecture, Systems Development, Enterprise Resource Planning, Functional Requirement, Software Development Tools, Data Migration, Software Development Methodologies, Database Systems, Business Analytics, Organizational Structure, Real Time Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Battery State-of-Health (SOH) Estimation: University of Colorado Boulder
    • DevOps Capstone Project: IBM
    • تصميم تجربة المستخدم من Google: Google
    • Clinical Trials Analysis, Monitoring, and Presentation: Johns Hopkins University
    • From Idea to Startup: Technion - Israel Institute of Technology
    • Computer Vision for Engineering and Science: MathWorks
    • Data Structures and Algorithms: Amazon
    • Software Engineering: Implementation and Testing: The Hong Kong University of Science and Technology
    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective): Columbia 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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