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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

    • E

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Secure Coding Practices

      Skills you'll gain: Threat Modeling, Open Web Application Security Project (OWASP), Secure Coding, Cryptography, Authentications, Encryption, Penetration Testing, Application Security, Data Security, Security Controls, Vulnerability Assessments, Software Design, C and C++, Vulnerability Management, Authorization (Computing), Java, Linux, Programming Principles, Debugging, Security Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      592 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Essentials for MLOps

      Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Quantitative Research

      Skills you'll gain: Surveys, Survey Creation, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Statistical Methods, Data Analysis, Marketing, Target Market, Sample Size Determination, Quality Control

      4.4
      Rating, 4.4 out of 5 stars
      ·
      337 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Business Research, Market Research, Research Design, Sample Size Determination, Survey Creation, Interviewing Skills, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      396 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Migrating to the AWS Cloud

      Skills you'll gain: Amazon Web Services, Data Migration, Cloud Management, Cloud Infrastructure, Cloud Security, Data Import/Export, Cloud Computing, Cloud Applications, Infrastructure Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Content, Advertising & Social IMC

      Skills you'll gain: Integrated Marketing Communications, Social Media Marketing, Content Marketing, Social Media, Social Media Campaigns, Social Media Strategy, Marketing Communications, Earned Media, Owned Media, Paid media, Facebook, Content Creation, Digital Media Strategy, Advertising, Digital Advertising, Global Marketing, Marketing Strategies, Key Performance Indicators (KPIs), Customer Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Outbreaks and Epidemics

      Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Public Health and Disease Prevention, Biostatistics, Laboratory Testing, Statistical Analysis, Probability & Statistics, Research Methodologies, Report Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      752 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Elevate your Software Development Career

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Software Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      158 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies

      4
      Rating, 4 out of 5 stars
      ·
      462 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Improving Your Statistical Questions: Eindhoven University of Technology
    • Exploratory Data Analysis: University of Leeds
    • Secure Coding Practices: University of California, Davis
    • Python Essentials for MLOps: Duke University
    • Quantitative Research: University of California, Davis
    • Research Methodologies: Queen Mary University of London
    • Migrating to the AWS Cloud: Amazon Web Services
    • Content, Advertising & Social IMC: Northwestern University
    • Outbreaks and Epidemics: Johns Hopkins University
    • Introduction to Computational Statistics for Data Scientists: Databricks

    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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