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  • Stochastic Process

Results for "stochastic+process"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Project Execution and Control

    Skills you'll gain: Earned Value Management, Configuration Management, Communication Planning, Project Risk Management, Project Controls, Project Implementation, Conflict Management, Risk Management, Quality Assurance, Engineering Management, Verbal Strategic Communication, Communication Strategies, Project Management, Risk Mitigation, Project Management Life Cycle, Business Risk Management, Risk Analysis, Scope Management, Product Quality (QA/QC), Quality Assurance and Control

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Simulation of Covid-19 Testing Process Using R Simmer

    Skills you'll gain: Simulations, Visualization (Computer Graphics), Statistical Visualization, R (Software), R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis, Process Analysis, Data Analysis, Test Case

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simulation of Call Centre Operations Using R Simmer

    Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Dynamical Modeling Methods for Systems Biology

    Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Cell Biology, Physiology, Electrical Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    222 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

1…6789

In summary, here are 10 of our most popular stochastic+process courses

  • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
  • Bayesian Computational Statistics: Illinois Tech
  • Statistical Learning: Illinois Tech
  • Natural Language Processing - Probability Models in Python: Packt
  • Using probability distributions for real world problems in R: Coursera
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Project Execution and Control: Johns Hopkins University
  • Simulation of Covid-19 Testing Process Using R Simmer: Coursera
  • Simulation of Call Centre Operations Using R Simmer: Coursera

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