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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: New
      New
      S

      SkillUp EdTech

      Data Architect Capstone Project

      Skills you'll gain: Data Migration, Data Architecture, Data Governance, Extract, Transform, Load, Data Integration, Database Design, Enterprise Architecture, Database Architecture and Administration, Data Modeling, Data Strategy, Data Management, Solution Architecture, Data Infrastructure, Data Pipelines, Data Warehousing, Data Security, Data Integrity, Data Storage, Data Quality, Scalability

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Project Network

      Data Validation with Alteryx: Testing and Optimization Tools

      Skills you'll gain: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Processing, Data Integration, Test Tools, Anomaly Detection

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Financial Analysts: Essential Predictive Analytics

      Skills you'll gain: Generative AI, Financial Forecasting, Predictive Modeling, Financial Data, Market Data, Predictive Analytics, Financial Analysis, Portfolio Management, Data Literacy, Risk Management, Spreadsheet Software, Financial Reporting, Artificial Intelligence, Investments, Interactive Data Visualization, Power BI

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Teradata: Building Analytics Systems

      Skills you'll gain: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Online Data Migration to Cloud Spanner using Striim

      Skills you'll gain: Data Migration, MySQL, Google Cloud Platform, Database Management, Data Pipelines, Data Storage Technologies, Operational Databases

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Testing and Profiling in NetBeans: Fix a Mortgage Calculator

      Skills you'll gain: JUnit, Unit Testing, Software Quality Assurance, Integrated Development Environments, Software Testing, Quality Assurance, Java, Software Development Tools, Debugging, Performance Testing

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Employing Best Practices for Improving the Usability of LookML Projects

      Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Mastering Machine Learning Algorithms using Python

      Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Internal Load Balancer

      Skills you'll gain: Load Balancing, Google Cloud Platform, Network Administration, Cloud Infrastructure, TCP/IP, Infrastructure As A Service (IaaS), Servers, Development Testing

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      Master Java Unit Testing with Spring Boot and Mockito

      Skills you'll gain: JUnit, Unit Testing, Spring Boot, Test Case, Software Testing, Test Driven Development (TDD), Restful API, Java Programming, Integration Testing, Hibernate (Java)

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Advanced Rust Programming and Real-World Applications

      Skills you'll gain: Rust (Programming Language), Performance Tuning, Blockchain, Web Servers, Web Development, Performance Testing, System Programming, Distributed Computing, Web Scraping, Data Structures, Scalability, Software Design Patterns

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Specflow and Cucumber for .NET Developers - The Master Guide

      Skills you'll gain: Gherkin (Scripting Language), Cucumber (Software), Behavior-Driven Development, .NET Framework, Test Driven Development (TDD), Test Case, User Story, Scenario Testing, Test Automation, Microsoft Visual Studio, C# (Programming Language), Acceptance Testing

      Beginner · Course · 3 - 6 Months

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

    • Data Architect Capstone Project: SkillUp EdTech
    • Data Validation with Alteryx: Testing and Optimization Tools: Coursera Project Network
    • GenAI for Financial Analysts: Essential Predictive Analytics: Coursera Instructor Network
    • Teradata: Building Analytics Systems: LearnQuest
    • Online Data Migration to Cloud Spanner using Striim: Google Cloud
    • Testing and Profiling in NetBeans: Fix a Mortgage Calculator: Coursera Project Network
    • Employing Best Practices for Improving the Usability of LookML Projects: Google Cloud
    • Mastering Machine Learning Algorithms using Python: Packt
    • Internal Load Balancer: Google Cloud
    • Master Java Unit Testing with Spring Boot and Mockito: Packt

    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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