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  • Variability

Results for "variability"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Response Surfaces, Mixtures, and Model Building

    Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Model Optimization, Statistical Modeling, Statistical Inference, Mathematical Modeling, Design Strategies, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Transformation, Statistical Hypothesis Testing, Probability Distribution, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Data Literacy, Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Statistical Methods, Microsoft Excel, Statistical Modeling, Data Analysis, Excel Formulas, Statistical Analysis, Descriptive Analytics, Box Plots, Sampling (Statistics), Statistical Inference, Correlation Analysis, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Statistics For Data Science

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    42 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Dialogflow CX: Managing Environments

    Skills you'll gain: Release Management, Virtual Environment, Configuration Management, Cloud Management, Application Deployment, Google Cloud Platform

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    OpenTelemetry for Unified Observability

    Skills you'll gain: .NET Framework, Prometheus (Software), Cloud-Native Computing, Devops Tools, Site Reliability Engineering, Problem Management, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Energy Production, Distribution & Safety

    Skills you'll gain: Personal protective equipment, Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Environmental Regulations, Energy and Utilities, Basic Electrical Systems, Petroleum Industry, Oil and Gas, Safety Training, Electrical Equipment, Electrical Safety, Occupational Safety and Health Administration (OSHA), Safety Standards, Workforce Planning, Workforce Development, Billing, Sustainable Development, Environmental Issue

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Derivatives

    Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Investments, Futures Exchange, Risk Modeling, Financial Modeling, Portfolio Management, Numerical Analysis, Simulations, Markov Model, Mathematical Modeling, Simulation and Simulation Software, Probability, Probability Distribution

    Intermediate · Course · 1 - 3 Months

1…891011

In summary, here are 10 of our most popular variability courses

  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Response Surfaces, Mixtures, and Model Building: Arizona State University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Sample-based Learning Methods: University of Alberta
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • Statistics For Data Science: Coursera
  • Dialogflow CX: Managing Environments: Google Cloud
  • OpenTelemetry for Unified Observability: Coursera
  • Energy Production, Distribution & Safety: University at Buffalo

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