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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
      N

      National Taiwan University

      頑想學概率:機率一 (Probability (1))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      366 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference, Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Preview
      M

      MathWorks

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Control Systems, Simulations

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      頑想學概率:機率二 (Probability (2))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Information Theory & Games

      Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
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      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

    • 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, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)

      Intermediate · 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, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

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

      Intermediate · Course · 1 - 3 Months

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

    • 頑想學概率:機率一 (Probability (1)): National Taiwan University
    • Natural Language Processing - Probability Models in Python: Packt
    • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Reinforcement Learning: MathWorks
    • Probabilistic Graphical Models: Stanford University
    • 頑想學概率:機率二 (Probability (2)): National Taiwan University
    • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Engineering Probability and Statistics Part 2: Northeastern 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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