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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: New
      New
      U

      University of California, Santa Cruz

      C, Go, and C++: A Comprehensive Introduction to Programming

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, File Systems, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, Big Data, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Analysis, Advanced Analytics, Correlation Analysis, Analytics, Data Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Statistical Inference, Statistics, Variance Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      515 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Statistical Inference, Statistical Methods, Probability Distribution, Probability & Statistics, Statistics, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Analysis, Data Ethics, Quantitative Research, Sample Size Determination, Descriptive Statistics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      320 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Statistical Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Modeling, Probability & Statistics, Probability, Statistics, Data Science, Descriptive Statistics, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Probability & Statistics, Business Process, Statistical Process Controls, Quality Management, Team Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Entrepreneurship 1: Developing the Opportunity

      Skills you'll gain: Entrepreneurship, Ideation, Target Market, New Product Development, Market Research, Innovation, Business Analysis, Business Development, Business Strategies, User Research, Technology Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

    • A

      Arizona State University

      Design of Experiments

      Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Hypothesis Testing, Statistical Software, A/B Testing, Sampling (Statistics), Data Analysis, Estimation, Mathematical Modeling, Probability & Statistics, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Quality Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      359 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Introduction to User Experience Design

      Skills you'll gain: User Experience Design, Prototyping, User Centered Design, Usability, Requirements Analysis, User Interface (UI), Interaction Design, Usability Testing, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Test Management in Software Testing

      Skills you'll gain: Test Planning, Test Tools, Software Testing, Test Case, Software Quality Assurance, User Acceptance Testing (UAT), Agile Software Development, Quality Assurance, Risk Management Framework, Technical Communication

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Computer Science, Software Testing, File Systems, Computational Thinking, Integration Testing, System Programming, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
    • Genomic Data Science: Johns Hopkins University
    • Regression Analysis: Simplify Complex Data Relationships: Google
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Data Analysis with R: Duke University
    • Meta Marketing Analytics: Meta
    • Six Sigma Yellow Belt: Kennesaw State University
    • Entrepreneurship 1: Developing the Opportunity: University of Pennsylvania
    • Design of Experiments: Arizona State University
    • Introduction to User Experience Design : Georgia Institute of Technology

    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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