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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.


More to explore:

Popular Probability Theory Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Analyze Data Science Concepts Using R

    Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Data Analysis, Statistics, Statistical Modeling, Regression Analysis, Data-Driven Decision-Making, Machine Learning, Descriptive Statistics, Probability Distribution, Time Series Analysis and Forecasting

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Michigan

    Model Thinking

    Skills you'll gain: Mathematical Modeling, Systems Thinking, Strategic Decision-Making, Innovation, Social Sciences, Strategic Thinking, Decision Making, Complex Problem Solving, Critical Thinking, Network Analysis, Economics, Probability, Market Dynamics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    Erasmus University Rotterdam

    Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

    Skills you'll gain: Strategic Decision-Making, Business Valuation, Private Equity, Mergers & Acquisitions, Game Theory, Strategic Thinking, Financial Analysis, Business Strategy, Return On Investment, Investment Banking, Cash Flows, Corporate Finance, Competitive Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Minitab Applied Statistics & Hypothesis Testing Mastery

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    A

    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
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    461 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

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

  • Analyze Data Science Concepts Using R: EDUCBA
  • Model Thinking: University of Michigan
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Computational Neuroscience: University of Washington
  • Understanding Clinical Research: Behind the Statistics: University of Cape Town
  • Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital: Erasmus University Rotterdam
  • Minitab Applied Statistics & Hypothesis Testing Mastery: EDUCBA
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Applied Social Network Analysis in Python: University of Michigan
  • Classification and Planned Experiments: Arizona State University

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