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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


  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Leading the Modern Day Business

    Skills you'll gain: Design Thinking, Digital Transformation, Creative Problem-Solving, New Product Development, Ideation, Business Transformation, Product Management, Technology Strategies, Innovation, Creativity, Product Lifecycle Management, Strategic Thinking, Product Improvement, Case Studies, Information Technology, Business Strategy, Business Analysis, Leadership and Management, Marketing, Storytelling

    4.7
    Rating, 4.7 out of 5 stars
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    21K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    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
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    G

    Google

    The Power of Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Advanced Analytics, Data Analysis, Probability Distribution, Statistics, Probability, A/B Testing, Statistical Analysis, Data Science, Statistical Inference, Statistical Programming, Jupyter, Python Programming, Technical Communication

    4.8
    Rating, 4.8 out of 5 stars
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    868 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    V

    Vanderbilt University

    Generative AI Leadership & Strategy

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Succession Planning, LLM Application, Productivity, OpenAI, Business Writing, Responsible AI, Generative AI, AI Enablement, Leadership, Meeting Facilitation, Organizational Leadership, Leadership and Management, Creativity, Problem Solving, Risk Management

    4.8
    Rating, 4.8 out of 5 stars
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    8.7K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    758 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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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
    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

  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to probability theory

probability theory and regression for predictive analytics
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In summary, here are 10 of our most popular probability theory courses

  • Leading the Modern Day Business: University of Virginia
  • Algorithms: Stanford University
  • Applied Data Science with Python: University of Michigan
  • The Power of Statistics: Google
  • Generative AI Leadership & Strategy: Vanderbilt University
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Data Analysis with R: Duke University

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