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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
      U

      University of Michigan

      Understanding User Needs

      Skills you'll gain: Qualitative Research, Usability Testing, User Centered Design, Research Methodologies, Needs Assessment, Interviewing Skills, Research, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      523 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador de Meta de Android

      Skills you'll gain: React Native, User Research, UI/UX Research, Persona (User Experience), Restful API, Design Research, Android Studio, Version Control, Kotlin, User Experience Design, Android Jetpack, Unix Commands, Android Development, Interaction Design, Git (Version Control System), GitHub, Algorithms, Jest (JavaScript Testing Framework), Usability, Mobile Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      327 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Black-box and White-box Testing

      Skills you'll gain: Cucumber (Software), Gherkin (Scripting Language), Software Testing, Testability, Test Case, Behavior-Driven Development, Code Coverage, Acceptance Testing, Unit Testing, Functional Testing, Test Automation, Requirements Analysis, Java Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Preventative Healthcare for the Newborn Baby

      Skills you'll gain: Preventative Care, Child Health, Pediatrics, Public Health and Disease Prevention, Pharmacology, Vital Signs, Cardiology, Blood Collection, General Medical Tests and Procedures, Laboratory Testing, Infectious Diseases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      619 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Data Science of Health Informatics

      Skills you'll gain: Health Informatics, Health Care, Health Information Management, Databases, Healthcare Industry Knowledge, Clinical Data Management, Electronic Medical Record, Data Mining, Data Analysis, Data Quality, Interoperability, Big Data, Query Languages, Data Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Advanced Django: Mastering Django and Django Rest Framework

      Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, React.js, Authorization (Computing), Secure Coding, PostgreSQL, Object-Relational Mapping, API Design, Model View Controller, Scalability, Application Frameworks, JSON, Full-Stack Web Development, Development Testing, Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      156 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Programming in Java: A Hands-on Introduction

      Skills you'll gain: Apache Maven, Data Import/Export, Object Oriented Programming (OOP), JSON, Java Programming, Debugging, JUnit, Java, Software Documentation, Programming Principles, Data Structures, Computer Programming, Restful API, Integrated Development Environments, File Management, Data Validation, Package and Software Management, Network Protocols, Unit Testing, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      The Business of Social

      Skills you'll gain: Social Media Marketing, Social Media Management, Social Media Strategy, Marketing Effectiveness, Performance Measurement, Business Metrics, Customer Engagement, Business-To-Consumer, Return On Investment, Key Performance Indicators (KPIs), Program Management, Integrated Marketing Communications, Marketing Budgets, Law, Regulation, and Compliance, Information Privacy, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      815 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Indian School of Business

      Advanced Trading Algorithms

      Skills you'll gain: Financial Trading, Securities Trading, Performance Measurement, Technical Analysis, Market Trend, Portfolio Management, Performance Metric, Backlogs, Market Data, Risk Analysis, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      526 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Understanding User Needs: University of Michigan
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Desarrollador de Meta de Android: Meta
    • Black-box and White-box Testing: University of Minnesota
    • Preventative Healthcare for the Newborn Baby : University of Colorado System
    • The Data Science of Health Informatics: Johns Hopkins University
    • Advanced Django: Mastering Django and Django Rest Framework: Codio
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Programming in Java: A Hands-on Introduction: Codio
    • The Business of Social: Northwestern 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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