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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


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    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Data Literacy, Statistics, Matplotlib, Plotly, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Data Compilation, Box Plots, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California San Diego

    Algorithms on Graphs

    Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Social Network Analysis, Data Structures, Network Analysis, Network Model

    4.7
    Rating, 4.7 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Q

    Queen Mary University of London

    Research Methodologies

    Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Research, Market Research, Research Design, Sample Size Determination, Interviewing Skills, Probability & Statistics, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
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    670 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Pseudocode, Graph Theory, Debugging, Artificial Intelligence, Data Structures, Game Design

    4.5
    Rating, 4.5 out of 5 stars
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    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    C

    California Institute of the Arts

    Graphic Design

    Skills you'll gain: Typography, Design Elements And Principles, Graphic Design, Graphic and Visual Design Software, Design, Logo Design, Digital Design, Graphic and Visual Design, Color Theory, Photo Editing, Adobe InDesign, Image Quality, Style Guides, Branding, Art History, Layout Design, Design Research, Visual Design, Design Strategies, Adobe Illustrator

    4.7
    Rating, 4.7 out of 5 stars
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    22K reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to Mathematical Thinking: Stanford University
  • Understanding and Visualizing Data with Python: University of Michigan
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Data Structures and Algorithms: University of California San Diego
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Algorithms on Graphs: University of California San Diego
  • Research Methodologies: Queen Mary University of London
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Graphic Design: California Institute of the Arts
  • Computer Vision Basics: University at Buffalo

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