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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

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to iOS App Development with Swift 5

      Skills you'll gain: Apple iOS, Swift Programming, Apple Xcode, Responsive Web Design, Mobile Development, Unit Testing, User Interface (UI), UI Components, Storyboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Strategies for Effective Engagement

      Skills you'll gain: Surveys, Interviewing Skills, Stakeholder Engagement, Needs Assessment, Systems Thinking, Focus Group, Data Collection, Systems Analysis, Rapport Building, Community Development, Qualitative Research, Process Mapping, Cultural Sensitivity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Providing Technical Support for AWS Workloads

      Skills you'll gain: Amazon Web Services, Cloud Infrastructure, Network Troubleshooting, Technical Consulting, Amazon S3, Cloud Solutions, Cloud Computing, Technical Support, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Scenario Testing, Cloud Storage, Serverless Computing, Database Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems: Evaluation and Metrics

      Skills you'll gain: Performance Metric, Data Collection, Performance Measurement, Benchmarking, Usability Testing, A/B Testing, Analysis, Data-Driven Decision-Making, Predictive Analytics, Customer Engagement

      4.4
      Rating, 4.4 out of 5 stars
      ·
      235 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      System and Network Security

      Skills you'll gain: Penetration Testing, Network Security, Malware Protection, Threat Modeling, Cybersecurity, Threat Detection, Information Systems Security, Intrusion Detection and Prevention, Firewall, Cyber Attacks, Vulnerability Assessments, Internet Of Things, Network Analysis

      5
      Rating, 5 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Enjoyable Econometrics

      Skills you'll gain: Econometrics, Data Collection, Probability & Statistics, Regression Analysis, Survey Creation, Quantitative Research, Data Wrangling, Statistical Hypothesis Testing, Descriptive Statistics, Time Series Analysis and Forecasting, Statistical Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      121 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Effective Programming in Scala

      Skills you'll gain: Scala Programming, Data Validation, Object Oriented Programming (OOP), Build Tools, Debugging, Maintainability, Software Design Patterns, Development Environment, Unit Testing, Data Structures, Data Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Peking University

      医学统计学与SPSS软件(基础篇)

      Skills you'll gain: Statistical Hypothesis Testing, SPSS, Descriptive Statistics, Statistical Analysis, Statistical Methods, Data Analysis Software, Correlation Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Biostatistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      152 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Vulnerability Scanning with Nmap: Network Scanning

      Skills you'll gain: Vulnerability Scanning, Vulnerability Assessments, Penetration Testing, Cyber Security Assessment, Vulnerability Management, Security Testing, Network Security, Threat Detection, Operating Systems, Technical Services

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Web Application Security Testing with OWASP ZAP

      Skills you'll gain: Open Web Application Security Project (OWASP), Vulnerability Scanning, Proxy Servers, Security Testing, Penetration Testing, Vulnerability Assessments, Application Security, Vulnerability Management, Web Scraping, Web Applications

      4.3
      Rating, 4.3 out of 5 stars
      ·
      287 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Resampling, Selection and Splines

      Skills you'll gain: Data Science, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to iOS App Development with Swift 5: LearnQuest
    • Strategies for Effective Engagement : University of Colorado Boulder
    • Statistics and Data Analysis with R: University of Colorado Boulder
    • Providing Technical Support for AWS Workloads: Amazon Web Services
    • Recommender Systems: Evaluation and Metrics: University of Minnesota
    • System and Network Security: LearnKartS
    • Enjoyable Econometrics: Erasmus University Rotterdam
    • Effective Programming in Scala: École Polytechnique Fédérale de Lausanne
    • 医学统计学与SPSS软件(基础篇): Peking University
    • Vulnerability Scanning with Nmap: Network Scanning: Coursera Project Network

    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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