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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


  • 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

  • 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), Mathematical Modeling, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Mixed · Course · 1 - 3 Months

  • E

    Eindhoven University of Technology

    Improving Your Statistical Questions

    Skills you'll gain: Science and Research, Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Data Synthesis, R Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Geometric Algorithms

    Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, Data Access, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Theoretical Computer Science, Operations Research, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

1…91011…249

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

  • Statistical Mechanics: Algorithms and Computations: École normale supérieure
  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
  • Improving Your Statistical Questions: Eindhoven University of Technology
  • Statistical Methods for Data Science: Ball State University
  • Fundamentals of Machine Learning in Finance: New York University
  • Geometric Algorithms: 28DIGITAL
  • Guided Tour of Machine Learning in Finance: New York University
  • I/O-efficient algorithms: 28DIGITAL
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Approximation Algorithms: 28DIGITAL

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