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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

    • C

      Coursera Project Network

      Statistics For Data Science

      Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

      3.9
      Rating, 3.9 out of 5 stars
      ·
      33 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      209 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      AI Engineering

      Skills you'll gain: Prompt Engineering, Image Analysis, OpenAI, Cloud Applications, Generative AI, Application Deployment, API Gateway, Cloud Hosting, Generative AI Agents, ChatGPT, Cloud Security, User Interface (UI), Data Ethics, Application Programming Interface (API), Development Environment, Open Source Technology, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, JavaScript Frameworks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      171 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      A

      Arizona State University

      Response Surfaces, Mixtures, and Model Building

      Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      413 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      511 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Motion Planning for Self-Driving Cars

      Skills you'll gain: Algorithms, Computer Vision, Simulations, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      481 reviews

      Advanced · Course · 1 - 3 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, Treatment Planning, General Medical Tests and Procedures, Laboratory Testing, Biology, Precision Medicine, Surgery, Care Management, Clinical Trials, Anatomy, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Android App Development

      Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Version Control, Maintainability, Software Design Patterns, Test Automation, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Development Testing, Software Testing, Testability, Software Engineering, Java Programming, Software Design, User Interface (UI) Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      JavaScript Security

      Skills you'll gain: Authentications, Application Security, Serverless Computing, Secure Coding, Security Testing, Cryptography, Risk Management Framework, Threat Modeling, Cloud Security, Infrastructure Security, Package and Software Management, Node.JS, Web Applications, Javascript, Vulnerability Management, Cloud Services, Cloud Platforms, Web Development, Identity and Access Management, Dependency Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      107 reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Foundations of Healthcare Systems Engineering

      Skills you'll gain: Health Systems, Systems Engineering, Health Technology, Healthcare Industry Knowledge, Health Care, Systems Integration, Systems Analysis, System Requirements, System Testing, Requirements Analysis, Enterprise Architecture, Solution Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      283 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Statistics For Data Science: Coursera Project Network
    • Rust Programming: Duke University
    • AI Engineering: Scrimba
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Response Surfaces, Mixtures, and Model Building: Arizona State University
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Ciencia de datos​: Universidad de los Andes
    • Motion Planning for Self-Driving Cars: University of Toronto
    • Understanding Prostate Cancer: Johns Hopkins University
    • Android App Development: Vanderbilt 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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