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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
      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

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      API Testing a real web application via Postman

      Skills you'll gain: Postman API Platform, OAuth, Application Programming Interface (API), Performance Testing, Security Testing, Software Testing, Restful API, Authentications, Web Development Tools, Application Security

      4.4
      Rating, 4.4 out of 5 stars
      ·
      60 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      UX Design in Practice: Accessibility and Collaboration

      Skills you'll gain: User Experience Design, Web Content Accessibility Guidelines, User Centered Design, Design, Usability Testing, Collaborative Software, Design Thinking, Graphic and Visual Design, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      64 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Starweaver

      Advanced Business Analysis: Elicitation & Analysis

      Skills you'll gain: Requirements Elicitation, User Story, Business Requirements, Business Analysis, Requirements Analysis, Financial Analysis, Business Process Modeling, Process Analysis, Stakeholder Engagement, Interviewing Skills, Focus Group, Project Scoping

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Grant Writing for Health Researchers

      Skills you'll gain: Concision, Grant Writing, Sample Size Determination, Proposal Writing, Biostatistics, Proposal Development, Writing, Editing, Statistical Analysis, Data Analysis, Clinical Research, Statistical Methods, Medical Science and Research, Literacy, Science and Research, Research Design, Research, Statistical Hypothesis Testing, Communication, Organizational Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Essentials of Sensory Science

      Skills you'll gain: Experimentation, Product Testing, Food Quality Assurance And Control, Laboratory Experience, Consumer Behaviour, Scientific Methods, Systems Of Measurement, Research Design, Statistical Analysis, Nutrition and Diet, Target Market, Quality Assessment, Human Factors, Marketing Psychology, Anatomy, Quantitative Research, Data Collection, Psychology, Research Methodologies, Laboratory Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Statistics in Psychological Research

      Skills you'll gain: Descriptive Statistics, Plot (Graphics), Graphing, Statistical Visualization, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Sample Size Determination, Data Analysis, Scatter Plots, Psychology, Research Design, Experimentation, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Cybersecurity Tools and Solutions

      Skills you'll gain: Vulnerability Management, Azure Active Directory, Cloud Security, Distributed Denial-Of-Service (DDoS) Attacks, Penetration Testing, Generative AI, Vulnerability Assessments, Intrusion Detection and Prevention, Security Testing, Single Sign-On (SSO), Microsoft Azure, Cyber Security Policies, Security Management, Network Security, Identity and Access Management, Data Management, Authentications, System Monitoring, Data Ethics, Cybersecurity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Python Scripting for DevOps: LearnQuest
    • Building Statistical Models in R: Linear Regression: Coursera Project Network
    • Ubiquitous Learning and Instructional Technologies: University of Illinois Urbana-Champaign
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • API Testing a real web application via Postman: Coursera Project Network
    • UX Design in Practice: Accessibility and Collaboration: Microsoft
    • Data Science with R - Capstone Project: IBM
    • Advanced Business Analysis: Elicitation & Analysis: Starweaver
    • Grant Writing for Health Researchers: University of Colorado System
    • Essentials of Sensory Science: University of California, Davis

    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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