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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: New
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    EDUCBA

    Analyze and Apply Statistical Methods Using Minitab

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Sampling (Statistics), Statistical Visualization, Probability & Statistics, Probability Distribution, Data Analysis, Statistical Methods, Performance Analysis, Statistical Inference, Quality Control, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • 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
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    2.3K reviews

    Intermediate · Course · 1 - 3 Months

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    G

    Georgia Institute of Technology

    Fundamentals of Engineering Exam Review

    Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
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    616 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    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

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    A

    Arizona State University

    Modern Statistics for Data-Driven Decision-Making

    Skills you'll gain: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Data Storage Technologies, Analytical Skills, Exploratory Data Analysis, Data Storage, Database Software, Estimation, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Logistic Regression, Statistical Hypothesis Testing, Predictive Modeling, Simulations, Simulation and Simulation Software, Regression Testing

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    A

    Adobe

    Generative AI in Adobe Creative Cloud

    Skills you'll gain: Photo Editing, Adobe Illustrator, Color Theory, Adobe Express, Adobe Photoshop, Responsible AI, Typography, Generative AI, Graphic and Visual Design, Graphic Design, Graphics Software, Graphic and Visual Design Software, Photography, Design, Adobe Creative Cloud, Design Elements And Principles, Digital Design, File Management, Branding, Storytelling

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 1 - 3 Months

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    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

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    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    721 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Statistical Hypothesis Testing, Statistical Analysis, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Jupyter, Probability & Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Arizona

    Astronomy: Exploring Time and Space

    Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, electromagnetics, Biology, Global Positioning Systems, Scientific Methods, Scientific Visualization, Research, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Microeconomics Principles

    Skills you'll gain: Supply And Demand, Economics, Market Dynamics, Business Economics, Behavioral Economics, Policy Analysis, Business Operations, Price Negotiation, Socioeconomics, Consumer Behaviour, Political Sciences, Economics, Policy, and Social Studies, Business Strategy, Public Policies, Competitive Analysis, Resource Allocation, Decision Making, Market Analysis, Cost Benefit Analysis, Environmental Issue

    4.8
    Rating, 4.8 out of 5 stars
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    3.4K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Analyze and Apply Statistical Methods Using Minitab: EDUCBA
  • Model Thinking: University of Michigan
  • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Modern Statistics for Data-Driven Decision-Making: Arizona State University
  • Generative AI in Adobe Creative Cloud: Adobe
  • Statistics with Python: University of Michigan
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Evaluate LLMs: Test and Prove Significance: Coursera

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