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    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
      V

      Vanderbilt University

      ChatGPT: Master Free AI Tools to Supercharge Productivity

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Productivity, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Expense Management, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Travel Arrangements, Innovation, Scenario Testing, Problem Solving, Application Development, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Agile Software Development, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, DevOps, Code Coverage, OpenShift, Cloud Applications, Containerization, Agile Methodology, Behavior-Driven Development, Secure Coding, Grafana, System Monitoring

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Systems Analyst

      Skills you'll gain: Data Storytelling, Business Analysis, Systems Development Life Cycle, Business Process Modeling, Process Optimization, Requirements Management, Business Requirements, Stakeholder Management, Stakeholder Engagement, Systems Analysis, Risk Analysis, Requirements Analysis, Data Visualization Software, Information Technology, Dashboard, Business Systems Analysis, IBM Cognos Analytics, Computer Hardware, Cloud Computing, Network Troubleshooting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI SQL Database Specialist with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Database Design, Productivity, Data Migration, Generative AI, Software Documentation, SQL, Dashboard, Artificial Intelligence, Database Management, Data Visualization, Large Language Modeling, Gap Analysis, Database Architecture and Administration, Technical Design, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Assistants

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Ideation, Verification And Validation, Data Validation, Productivity, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Data Ethics, Travel Arrangements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Security, CI/CD, Cloud Applications, Natural Language Processing, Cloud Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python 3 Programming

      Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Data Import/Export, Restful API, Python Programming, Image Analysis, Data Manipulation, Jupyter, Maintainability, Data Structures, Software Engineering, File Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Web Content Accessibility Guidelines, Cross Platform Development, Prototyping, Wireframing, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
    • IBM Applied DevOps Engineering: IBM
    • IBM Systems Analyst: IBM
    • Data Science: Johns Hopkins University
    • Generative AI SQL Database Specialist with ChatGPT: Vanderbilt University
    • Generative AI Assistants: Vanderbilt University
    • IBM Data Management: IBM
    • Process Data from Dirty to Clean: Google
    • Statistical Inference: Johns Hopkins University
    • Generative AI for Mobile App Developers: IBM

    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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