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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
      I

      IBM

      Product Management: Capstone Project

      Skills you'll gain: Usability Testing, Product Lifecycle Management, Product Management, Product Testing, Product Roadmaps, Product Development, New Product Development, Portfolio Management, Market Analysis, Product Requirements, Business Strategy, Demand Generation, Market Intelligence, Marketing Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Università Bocconi

      A Scientific Approach to Innovation Management

      Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Medir y optimizar campañas de marketing en redes sociales

      Skills you'll gain: Data Storytelling, Social Media Campaigns, Social Media Marketing, Marketing Effectiveness, Social Media, Advertising Campaigns, Social Media Strategy, Social Media Management, Marketing Analytics, Campaign Management, Marketing Budgets, Digital Advertising, Content Performance Analysis, A/B Testing, Facebook, Advertising, Return On Investment, Cross-Channel Marketing, Verbal Communication Skills, Technical Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      207 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Design and Implementation of Digital Health Interventions

      Skills you'll gain: Agile Methodology, Health Care Procedure and Regulation, Health Technology, Digital Transformation, User Centered Design, Technology Strategies, Medical Privacy, Health Informatics, Technology Solutions, Data Security, Healthcare Ethics, Interoperability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Azure Infrastructure Fundamentals

      Skills you'll gain: Azure Active Directory, Cloud Infrastructure, Microsoft Azure, Virtual Machines, Infrastructure As A Service (IaaS), Role-Based Access Control (RBAC), Infrastructure Security, Multi-Factor Authentication, Network Infrastructure, Cloud Storage, Virtualization, Identity and Access Management, Virtual Private Networks (VPN), Data Migration, Disaster Recovery

      3.8
      Rating, 3.8 out of 5 stars
      ·
      51 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Supervised Learning, Regression Analysis, R Programming, Predictive Modeling, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Advanced Analytics, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Outcomes and Interventions of Health Informatics

      Skills you'll gain: Health Informatics, Decision Support Systems, Solution Design, Health Technology, Health Care, Clinical Data Management, Health Information Management, Usability Testing, Requirements Elicitation, Electronic Medical Record, Data Collection, User Centered Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Python Scripting for DevOps

      Skills you'll gain: Containerization, Package and Software Management, Unified Modeling Language, Software Testing, Docker (Software), Unit Testing, Plot (Graphics), Development Testing, CI/CD, Test Automation, Pandas (Python Package), Scripting, Data Modeling, NumPy, Programming Principles, Object Oriented Programming (OOP), Data Structures, Computer Programming, Python Programming, Command-Line Interface

      4
      Rating, 4 out of 5 stars
      ·
      201 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Data Modeling

      Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Plot (Graphics), Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Ubiquitous Learning and Instructional Technologies

      Skills you'll gain: Learning Management Systems, Education Software and Technology, Instructional Strategies, Pedagogy, Computer Programming, Computer Science, Interactive Design, Collaborative Software, Artificial Intelligence, Innovation, Cloud Applications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Health Informatics for Healthcare Professionals

      Skills you'll gain: Health Informatics, Health Information Management, Health Systems, Health Technology, Health Care, Health Care Administration, Medical Records, Data Sharing, Electronic Medical Record, Interoperability, Decision Support Systems, Data Management, Data Storage, Artificial Intelligence, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Product Management: Capstone Project: IBM
    • A Scientific Approach to Innovation Management: Università Bocconi
    • Medir y optimizar campañas de marketing en redes sociales: Meta
    • Design and Implementation of Digital Health Interventions : Imperial College London
    • Azure Infrastructure Fundamentals: LearnQuest
    • Statistical Learning for Data Science: University of Colorado Boulder
    • The Outcomes and Interventions of Health Informatics: Johns Hopkins University
    • Python Scripting for DevOps: LearnQuest
    • Advanced Data Modeling: Meta
    • Building Statistical Models in R: Linear Regression: 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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