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  • Probability Theory

Probability Theory Courses

Courses in Probability Theory can help you learn statistical reasoning, random variables, and probability distributions. You can build skills in hypothesis testing, regression analysis, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Excel, that support analyzing data and modeling real-world phenomena. You'll explore key topics such as Bayes' theorem, expected value, and the law of large numbers, all of which are crucial for applications in fields like finance, engineering, and artificial intelligence.


More to explore:

Popular Probability Theory Courses and Certifications


  • Status: Preview
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    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Statistical Methods, Markov Model, Reliability, Simulations, Sampling (Statistics), Statistical Analysis

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Fundamentals of Scientific Research Under Uncertainty

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Research Methodologies, Experimentation, Investigation, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 3 Months

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    E

    EDUCBA

    Bayesian Statistics: Excel to Python A/B Testing

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 4 Weeks

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    S

    Stanford University

    Game Theory II: Advanced Applications

    Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Policy Analysis, Economics, Behavioral Economics, Decision Making, Socioeconomics, Mathematical Theory & Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    651 reviews

    Advanced · Course · 1 - 3 Months

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    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Probability Distribution, Statistics, Statistical Inference, Simulations, Mathematical Theory & Analysis, Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Mixed · Course · 1 - 3 Months

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    S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 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, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    304 reviews

    Advanced · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

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

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Simulation Models for Decision Making

    Skills you'll gain: Simulations, Probability Distribution, Probability, Microsoft Excel, Excel Formulas, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Analysis, Statistical Analysis, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Games without Chance: Combinatorial Game Theory

    Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    211 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular probability theory courses

  • Introduction to Uncertainty Quantification: Johns Hopkins University
  • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Game Theory II: Advanced Applications: Stanford University
  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
  • Discrete Mathematics: Shanghai Jiao Tong University
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Bayesian Statistics: Duke University
  • Simulation Models for Decision Making: University of Minnesota

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