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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

    • U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Probability, Probability Distribution, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning Operations with Vertex AI: Model Evaluation

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Google Cloud Platform, Data Quality, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Machine Learning, Performance Tuning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Español

      Skills you'll gain: Data Migration, User Provisioning, Change Management, Google Workspace, Email Security, Cloud Computing, Interoperability, System Implementation, End User Training and Support

      Beginner · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Medindo o Marketing Digital

      Skills you'll gain: Marketing Effectiveness, Key Performance Indicators (KPIs), Marketing Analytics, Digital Marketing, Marketing Strategies, Performance Analysis, Performance Measurement, Marketing Channel, A/B Testing, Digital Transformation, Customer Engagement, Automation

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for end-to-end SDLC - Español

      Skills you'll gain: Software Development Life Cycle, Google Cloud Platform, Development Testing, Web Applications, Application Lifecycle Management, Application Development, Software Development, Cloud Development, Software Testing, Debugging, Query Languages

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for end-to-end SDLC - 简体中文

      Skills you'll gain: Application Development, Data Access, Google Cloud Platform, Development Testing, Software Development Life Cycle, Cloud Applications, Cloud Development, Software Testing, Software Development, Generative AI, Web Applications, Debugging, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Gemini for end-to-end SDLC - Deutsch

      Skills you'll gain: Software Development Life Cycle, Google Cloud Platform, Application Deployment, Application Lifecycle Management, Application Development, Software Development Tools, Web Applications, Development Environment, Software Testing, Query Languages, Data Access

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      C

      Coursera Project Network

      التصحيح باستخدام Apple XCode: تحقق من وجود أخطاء

      Skills you'll gain: Apple Xcode, Apple iOS, Debugging, iOS Development, Performance Tuning, Integrated Development Environments, Mobile Development Tools, Development Environment, Application Performance Management, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      L

      L&T EduTech

      Pavement Materials and Design (IRC and MoRTH)

      Skills you'll gain: Civil Engineering, Structural Analysis, Failure Analysis, Engineering Software, Engineering Design Process, Engineering Calculations, Engineering Analysis, Technical Standard, Product Testing

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Español

      Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Data Lakes, Data Storage, Big Data, Extract, Transform, Load, Data Management, Automation, Serverless Computing, SQL

      Beginner · Course · 1 - 3 Months

    • Placeholder
      G

      Google Cloud

      Gemini for end-to-end SDLC - 한국어

      Skills you'll gain: Software Development Life Cycle, Google Cloud Platform, Development Testing, Application Lifecycle Management, Web Applications, Application Development, Web Development Tools, Software Development, Software Testing, Query Languages, Debugging, Data Access

      Beginner · Course · 1 - 4 Weeks

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      P

      Packt

      Complete SAS Guide - Learn SAS and Become a Data Ninja

      Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Statistical Programming, Feature Engineering, Data Analysis, Pandas (Python Package), R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, Data Management, System Configuration

      Beginner · Course · 3 - 6 Months

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

    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
    • Planning for a Google Workspace Deployment - Español: Google Cloud
    • Medindo o Marketing Digital: Fundação Instituto de Administração
    • Gemini for end-to-end SDLC - Español: Google Cloud
    • Gemini for end-to-end SDLC - 简体中文: Google Cloud
    • Gemini for end-to-end SDLC - Deutsch: Google Cloud
    • التصحيح باستخدام Apple XCode: تحقق من وجود أخطاء: Coursera Project Network
    • Pavement Materials and Design (IRC and MoRTH): L&T EduTech
    • Introduction to Data Engineering on Google Cloud - Español: 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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