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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

    • U

      Universidad Nacional Autónoma de México

      La química en la producción de alimentos y medicamentos

      Skills you'll gain: Chemistry, Pharmacology, Natural Resource Management, Food and Beverage, Biochemistry, Environment and Resource Management, Chemical Engineering, Pharmaceuticals, Nutrition and Diet, Laboratory Testing, Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      E-Marketing

      Skills you'll gain: Pay Per Click Advertising, Search Engine Marketing, Customer Retention, Persona Development, Digital Marketing, Marketing Analytics, Search Engine Optimization, Key Performance Indicators (KPIs), Target Audience, Keyword Research, Social Media Strategy, Marketing Effectiveness, Customer Acquisition Management, Customer experience improvement, Marketing Strategy and Techniques, Customer Engagement, A/B Testing, Web Analytics, Marketing Strategies, Google Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      388 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Statistics for International Business

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Estimation, Probability, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Data Visualization, Data Analysis, Histogram, Graphing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      309 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      X

      Xi'an Jiaotong University

      .Net平台下的软件开发技术

      Skills you'll gain: Microsoft SQL Servers, Database Design, System Testing, SQL, C# (Programming Language), ASP.NET, Object Oriented Programming (OOP), Relational Databases, Operating Systems, Microsoft Visual Studio, Computer Systems, User Interface (UI) Design, .NET Framework, Database Management, Databases, Database Architecture and Administration, Stored Procedure, Web Development, Programming Principles, UI Components

      4.4
      Rating, 4.4 out of 5 stars
      ·
      112 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Assisting Public Sector Decision Makers With Policy Analysis

      Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Factorial and Fractional Factorial Designs

      Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Automation in the AWS Cloud

      Skills you'll gain: Infrastructure as Code (IaC), AWS CloudFormation, IT Automation, Scripting, Bash (Scripting Language), Amazon Web Services, Command-Line Interface, Configuration Management, Amazon Elastic Compute Cloud, Automation, Continuous Monitoring, Infrastructure As A Service (IaaS), Cloud Management, Patch Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      70 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidade Estadual de Campinas

      Cosmetologia: Prática de Manipulação de Cosméticos

      Skills you'll gain: Pharmaceuticals, Preventative Care, Pharmacology, Chemistry, Biochemistry, Laboratory Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      203 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EDUCBA

      Overview of Automotive SPICE

      Skills you'll gain: Process Driven Development, Software Quality Assurance, Software Development, Verification And Validation, Software Engineering, Software Development Life Cycle, Quality Assurance, Systems Engineering, Systems Development Life Cycle, Configuration Management, Requirements Analysis, Risk Management Framework

      4.5
      Rating, 4.5 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      UiPath

      UI Automation and Selectors

      Skills you'll gain: User Interface (UI), UI Components, Test Automation, Automation, Robotic Process Automation, Excel Macros, Business Process Automation, Scripting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Software Architecture for the Internet of Things

      Skills you'll gain: Software Architecture, Functional Requirement, Requirements Analysis, Internet Of Things, Software Design Patterns, User Requirements Documents, Android Development, Application Frameworks, Maintainability, Interoperability, Software Quality (SQA/SQC)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      250 reviews

      Mixed · Course · 1 - 3 Months

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

    • La química en la producción de alimentos y medicamentos: Universidad Nacional Autónoma de México
    • E-Marketing: University of California, Irvine
    • Statistics for International Business: University of London
    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • .Net平台下的软件开发技术: Xi'an Jiaotong University
    • Assisting Public Sector Decision Makers With Policy Analysis: University of Michigan
    • Factorial and Fractional Factorial Designs: Arizona State University
    • Automation in the AWS Cloud: Amazon Web Services
    • Cosmetologia: Prática de Manipulação de Cosméticos: Universidade Estadual de Campinas
    • Overview of Automotive SPICE: EDUCBA

    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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