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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

    • I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Application Development, Python Programming, Web Applications, Restful API, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 2

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Python Programming, Algorithms, Data Structures, Computer Science, Computational Thinking, Maintainability, Data Storage, Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data Literacy

      Skills you'll gain: Survey Creation, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Probability & Statistics, Data Presentation, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Statistical Hypothesis Testing, Analytics, Report Writing, Research Methodologies, Correlation Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      247 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      632 reviews

      Advanced · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Software Engineering

      Skills you'll gain: Software Design Patterns, Requirements Analysis, Systems Development Life Cycle, Software Architecture, Acceptance Testing, Software Development Methodologies, Unified Modeling Language, Software Development Life Cycle, Configuration Management, Software Quality Assurance, Debugging, Engineering Software, Software Design, Process Driven Development, Software Engineering, Software Testing, Object Oriented Design, Functional Requirement, Data Modeling, Systems Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      493 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Human-Centered Design: an Introduction

      Skills you'll gain: Interaction Design, Human Centered Design, Mockups, Storyboarding, User Experience Design, Design Thinking, Prototyping, Usability Testing, User Interface (UI) Design, User Research, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Peking University

      Chinese for HSK 4

      Skills you'll gain: Grammar, Literacy, Language Learning, Vocabulary, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft UX Design

      Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Design Thinking, Prototyping, Usability Testing, Persona (User Experience), Wireframing, Design Research, User Interface and User Experience (UI/UX) Design, Interaction Design, Web Content Accessibility Guidelines, Human Centered Design, Usability, User Interface (UI) Design, User Centered Design, Figma (Design Software), Design, Mockups

      4.6
      Rating, 4.6 out of 5 stars
      ·
      369 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      UiPath

      Robotic Process Automation (RPA)

      Skills you'll gain: Robotic Process Automation, Web Scraping, User Interface (UI), Business Process Automation, Automation, Email Security, UI Components, Test Automation, User Interface (UI) Design, Data Import/Export, Excel Macros, Scripting, IT Automation, Data Cleansing, Software Development Tools, Data Integration, Integrated Development Environments, Unstructured Data, Application Deployment, Configuration Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      470 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Building Scalable Java Microservices with Spring Boot and Spring Cloud

      Skills you'll gain: Microservices, Application Deployment, Google Cloud Platform, Google App Engine, Cloud Applications, Spring Framework, Spring Boot, Kubernetes, Java, Software Architecture, Data Migration, Cloud Services, Application Performance Management, Databases, Cloud Storage

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      M

      McMaster University

      Experimentation for Improvement

      Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Regression Analysis, Statistical Software, Operational Efficiency, Mathematical Modeling, Data Analysis, Statistical Analysis, Sample Size Determination

      4.9
      Rating, 4.9 out of 5 stars
      ·
      921 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to battery-management systems

      Skills you'll gain: Electrical Safety, Thermal Management, Basic Electrical Systems, Manufacturing and Production, Failure Analysis, Failure Mode And Effects Analysis, Electronic Components, High Voltage, Electrical Engineering, Manufacturing Processes, Safety Assurance, Embedded Systems, Performance Testing, System Requirements, Engineering Calculations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Developing AI Applications with Python and Flask: IBM
    • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
    • Data Literacy: Johns Hopkins University
    • The Path to Insights: Data Models and Pipelines: Google
    • Software Engineering: The Hong Kong University of Science and Technology
    • Human-Centered Design: an Introduction: University of California San Diego
    • Chinese for HSK 4: Peking University
    • Microsoft UX Design: Microsoft
    • Robotic Process Automation (RPA): UiPath
    • Building Scalable Java Microservices with Spring Boot and Spring Cloud: Google Cloud

    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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