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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
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Jenkins - From Zero to Hero

      Skills you'll gain: Ansible, Jenkins, Infrastructure as Code (IaC), CI/CD, Continuous Integration, Continuous Delivery, Gradle, Configuration Management, Devops Tools, Code Coverage, IT Automation, Apache Tomcat, Apache Maven, DevOps, System Monitoring, Docker (Software), Software Development Tools, Systems Administration, Continuous Monitoring, Test Automation

      3.7
      Rating, 3.7 out of 5 stars
      ·
      36 reviews

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Exploratory vs Confirmatory data analysis using Python

      Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Engineering with Rust

      Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Data Structures, Secure Coding, Data Processing, Cloud Applications, Data Manipulation, Encryption, Algorithms

      3.5
      Rating, 3.5 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Technion - Israel Institute of Technology

      Nanotechnology and Nanosensors, Part 2

      Skills you'll gain: Semiconductors, Innovation, Chemical and Biomedical Engineering, Chemistry, Emerging Technologies, Laboratory Testing, Electrical Engineering, Precision Medicine, Electronic Systems, Electronic Components, Laboratory Research, Manufacturing Processes

      4.8
      Rating, 4.8 out of 5 stars
      ·
      234 reviews

      Mixed · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Desenvolvimento Ágil com Java Avançado

      Skills you'll gain: Model View Controller, Selenium (Software), Web Applications, Java, JUnit, Data Access, Integration Testing, Software Testing, Application Development, Agile Software Development, Database Development, Development Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      196 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to GitHub Copilot

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, Generative AI, Computer Programming, Application Development, Development Environment, Microsoft Visual Studio, Computer Programming Tools, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Lean Methodologies, Team Motivation, Process Improvement, Six Sigma Methodology, Kaizen Methodology, Process Capability, Risk Analysis, Team Leadership, Quality Improvement, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Process Analysis, Statistical Analysis, Continuous Improvement Process, Organizational Change

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Programación Orientada a Objetos con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Software Design, Test Driven Development (TDD), Unit Testing, Object Oriented Programming (OOP), Programming Principles, Software Testing, Software Quality (SQA/SQC), Software Development, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      274 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      食品安全與毒理 (Food Safety & Toxicology)

      Skills you'll gain: Food Quality Assurance And Control, Food Safety and Sanitation, Laboratory Testing, Environmental Science, Chemistry, Biochemistry, Nutrition and Diet, Microbiology, Scientific Methods, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      333 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Lausanne

      La science forensique au tribunal: témoin digne de foi ?

      Skills you'll gain: Criminal Investigation and Forensics, Court Systems, Report Writing, Laboratory Testing, Probability & Statistics, Research, Technical Communication, Scientific Methods, Deductive Reasoning, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      70 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Proactive Computer Security

      Skills you'll gain: Open Web Application Security Project (OWASP), Penetration Testing, Security Testing, Security Strategy, Vulnerability Assessments, Cyber Security Assessment, Security Management, Vulnerability Scanning, Cyber Threat Intelligence, Information Systems Security, Threat Detection, Test Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 3 Months

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

    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Jenkins - From Zero to Hero: LearnKartS
    • Exploratory vs Confirmatory data analysis using Python: Coursera Project Network
    • Data Engineering with Rust: Duke University
    • Nanotechnology and Nanosensors, Part 2: Technion - Israel Institute of Technology
    • Desenvolvimento Ágil com Java Avançado: Instituto Tecnológico de Aeronáutica
    • Introduction to GitHub Copilot: Microsoft
    • ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep: SkillUp EdTech
    • Programación Orientada a Objetos con Python: Universidad Austral
    • 食品安全與毒理 (Food Safety & Toxicology): National Taiwan 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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