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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


  • 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

  • U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software

    ★ 4.8 (10) · Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Machine Learning Methods, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    ★ 4.5 (13) · Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

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

    ★ 4.6 (489) · Advanced · Course · 1 - 3 Months

  • P

    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    ★ 4.7 (109) · Advanced · Course · 1 - 3 Months

  • É

    École normale supérieure

    Statistical Mechanics: Algorithms and Computations

    Skills you'll gain: Sampling (Statistics), Mathematical Software, Physics, Simulations, Numerical Analysis, Markov Model, Mechanics, Simulation and Simulation Software, Algorithms, Programming Principles, Applied Mathematics, Integral Calculus, Model Optimization, Program Development

    ★ 4.8 (269) · Mixed · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 1

    Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis, Statistical Methods, Spreadsheet Software, Bayesian Statistics

    ★ 4.6 (41) · Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Research Design, Data Presentation, Descriptive Statistics, Analytics, Descriptive Analytics, Research Methodologies, Analysis, Statistics, Quantitative Research, Statistical Methods

    ★ 4.6 (183) · Beginner · Course · 1 - 4 Weeks

  • 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

  • J

    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Cyber Security Strategy, Data-Driven Decision-Making, Decision Intelligence, Cybersecurity, Data Science, Algorithms, Machine Learning

    Intermediate · Course · 1 - 3 Months

1…789…281

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

  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Statistical Methods: University of Leeds
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Natural Language Processing - Probability Models in Python: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Statistical Mechanics: Algorithms and Computations: École normale supérieure
  • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
  • Data – What It Is, What We Can Do With It: Johns Hopkins University

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