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    • Stochastic Process

    Stochastic Process Courses Online

    Master stochastic process theory for understanding randomness. Learn about Markov chains, Poisson processes, and their applications.

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    Explore the Stochastic Process Course Catalog

    • Status: Preview
      Preview
      U

      University of Minnesota

      Statistical Molecular Thermodynamics

      Skills you'll gain: Physics, Thermal Management, Chemistry, Physical Science, Engineering Calculations, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      363 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      864 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Thermodynamics

      Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mechanical Engineering, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Physical Science, Simulation and Simulation Software, Simulations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Building on the SIR Model

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistics, Statistical Analysis, Histogram, R Programming, Scatter Plots

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

      Beginner · Course · 1 - 3 Months

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

    • Statistical Molecular Thermodynamics: University of Minnesota
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Combinatorics and Probability: University of California San Diego
    • Statistical Thermodynamics: University of Colorado Boulder
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Random Models, Nested and Split-plot Designs: Arizona State University

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

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