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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

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

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    183 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Theoretical Computer Science, Probability Distribution, Artificial Intelligence

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • N

    National Taiwan University

    商管統計資料分析一 (Analytics for Business and Management (I))

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • É

    École normale supérieure

    Statistical Mechanics: Algorithms and Computations

    Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    269 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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

  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Statistical Learning: Illinois Tech
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Game Theory II: Advanced Applications: Stanford University
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Statistical Mechanics: Algorithms and Computations: École normale supérieure

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