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  • Probability Distribution

Probability Distribution Courses

Probability distribution courses can help you learn about normal, binomial, and Poisson distributions, as well as their applications in statistics and data analysis. You can build skills in interpreting data, calculating probabilities, and making informed predictions based on statistical models. Many courses introduce tools like R, Python, and Excel, that support visualizing distributions and performing simulations, helping you apply these concepts in practical scenarios such as risk assessment and decision-making.

Popular Probability Distribution Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    É

    École Polytechnique

    Mécanique quantique

    Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, Probability Distribution, Probability, Calculus, Differential Equations, Applied Mathematics, Advanced Mathematics, Integral Calculus, Mathematical Modeling, Experimentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    154 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Y

    Yale University

    Moral Foundations of Politics

    Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Studies, Public Policies, Economics, Policy, and Social Studies, Social Sciences, Law, Regulation, and Compliance, Governance, Sociology, Ethical Standards And Conduct, Liberal Arts, Socioeconomics, Economics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford Online

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability & Statistics, Probability, Design Strategies, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

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

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The Chinese University of Hong Kong

    Information Theory

    Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Informatics, Probability, Probability Distribution, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    171 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Machine Learning, Algorithms, Applied Machine Learning, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    385 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain Planning, Supply Chain, Probability, Predictive Modeling, Statistical Methods, Data Preprocessing, Transportation, Supply Chain, and Logistics, Business Modeling, Simulation and Simulation Software, Model Training, Business Analytics, Workforce Management, Analytics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    309 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Data Analysis, Computational Logic, Integral Calculus, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Statistical Methods, Analysis, Advanced Mathematics, Bayesian Statistics, Statistical Inference, Theoretical Computer Science, Mathematics and Mathematical Modeling, Numerical Analysis, Descriptive Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    203 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of North Carolina at Chapel Hill

    Epidemiology: The Basic Science of Public Health

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Infectious Diseases, Research Design, Community Health, Health Policy, Research Methodologies, Biostatistics, Social Determinants Of Health, Science and Research, Correlation Analysis, Clinical Trials, Statistical Analysis, Chronic Diseases, Risk Analysis

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    3.6
    Rating, 3.6 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Regression Models: Johns Hopkins University
  • Mécanique quantique: École Polytechnique
  • Moral Foundations of Politics: Yale University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford Online
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Information Theory: The Chinese University of Hong Kong
  • Sample-based Learning Methods: University of Alberta
  • IBM AI Enterprise Workflow: IBM
  • Analytics for Decision Making: University of Minnesota
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani

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