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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.

Popular Probability Theory Courses and Certifications


  • J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Methods, Statistical Analysis, Statistical Inference, Sampling (Statistics), Descriptive Statistics, Combinatorics

    ★ 4.6 (18) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • U

    University of Colorado System

    Cryptography and Information Theory

    Skills you'll gain: Cryptography, Brute-force attacks, Cryptographic Protocols, Encryption, Key Management, Cybersecurity, Computer Security, Information Assurance, Theoretical Computer Science, Threat Modeling, Communication Systems

    ★ 4.5 (551) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Statistical Programming, Statistical Methods, Correlation Analysis, Model Evaluation, Probability Distribution

    ★ 4.3 (18) · 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, Statistical Software, Sampling (Statistics), Regression Analysis, R Programming, Simulations, Statistical Inference, Probability Distribution

    ★ 4.8 (497) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    ★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Mathematical Theory & Analysis

    ★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    ★ 4.5 (97) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis

    ★ 4.6 (1.4K) · Advanced · 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, 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 (305) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • 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), Numerical Analysis, Statistical Inference, Applied Mathematics, Correlation Analysis, Integral Calculus, Statistical Analysis

    ★ 4.6 (40) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution

    ★ 3.8 (801) · Intermediate · Course · 1 - 3 Months

1…678…316

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

  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Cryptography and Information Theory: University of Colorado System
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Using probability distributions for real world problems in R: Coursera
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Math behind Moneyball: University of Houston
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Probabilistic Graphical Models 3: Learning: Stanford University

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