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    Results for "statistical hypothesis testing"

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Introduction to Statistics & Data Analysis in Public Health

      Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, Statistical Software, R Programming, Statistics, Public Health, Descriptive Statistics, Probability Distribution, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Hypothesis-Driven Development

      Skills you'll gain: Usability Testing, Continuous Delivery, Product Testing, Agile Product Development, DevOps, Agile Methodology, User Research, Prototyping, Product Development, Lean Methodologies, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution

      4.9
      Rating, 4.9 out of 5 stars
      ·
      797 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Integrated Development Environments, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Medical Science and Research, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      643 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: User Story, CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Agile Software Development, Scrum (Software Development), DevOps, Code Coverage, OpenShift, Cloud Applications, Secure Coding, Grafana, System Monitoring, Agile Methodology

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Mathematical Software, Engineering Calculations, Computer Programming, Data Processing, Data Analysis, Engineering Analysis, Programming Principles, Scripting, UI Components, Software Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

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

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      323 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to statistical hypothesis testing

    introduction to statistical analysis: hypothesis testing
    statistical inference and hypothesis testing in data science applications
    1…101112…271

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

    • Generative AI with Large Language Models: DeepLearning.AI
    • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
    • Hypothesis-Driven Development: University of Virginia
    • Improving your statistical inferences: Eindhoven University of Technology
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Tools for Data Science: IBM
    • IBM Applied DevOps Engineering: IBM
    • Methods and Statistics in Social Sciences: University of Amsterdam

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