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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


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    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

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    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

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    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics, Mathematical Theory & Analysis, Arithmetic, Advanced Mathematics, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

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    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

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    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    11 reviews

    Beginner · Specialization · 1 - 3 Months

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    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 Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

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    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Logic & Set Theory

    Skills you'll gain: Computational Logic, Logical Reasoning, Theoretical Computer Science, Deductive Reasoning, Data Structures, Computational Thinking, Computer Science, Algorithms

    Beginner · Course · 1 - 3 Months

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    Arizona State University

    Probability, Statistical Inference and Regression Analysis

    Skills you'll gain: Probability & Statistics, Analytical Skills, Exploratory Data Analysis, Estimation, Logistic Regression

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
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    789 reviews

    Advanced · Specialization · 3 - 6 Months

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    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

Searches related to probability theory

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

  • Game Theory: Stanford University
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Introduction to Statistics: Stanford University
  • Foundations for Machine Learning: Dartmouth College
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Discrete Math for Computer Science - Logic & Set Theory: The Hong Kong University of Science and Technology
  • Probability, Statistical Inference and Regression Analysis: Arizona State University

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