Probability Distribution

Probability Distribution is a statistical function that describes all the possible values and likelihoods that a random variable can take within a given range. Coursera's Probability Distribution catalogue teaches you the fundamental concepts of probability theory, including the properties and types of probability distributions like Binomial, Normal, and Poisson distributions. You'll learn about concepts such as expected values, variance, standard deviation, and moments. You'll also learn how to use these distributions to make predictions, analyze data, and solve real-world problems in various fields such as engineering, data science, economics, and risk management. The knowledge gained will allow you to model uncertainties and understand the underlying patterns in complex datasets.
36credentials
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Explore the Probability Distribution Course Catalog

  • Status: Preview

    University of Zurich

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistics, Data Analysis, Statistical Analysis, Artificial Intelligence

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    262 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    629 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Probability, Markov Model, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Mathematical Modeling, Statistics, Statistical Modeling, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Generative AI, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    315 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning

    Build toward a degree

    Mixed · Course · 1 - 3 Months

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  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Pennsylvania

    Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Spreadsheet Software, Google Sheets, Microsoft Excel

    4.5
    Rating, 4.5 out of 5 stars
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    Packt

    Skills you'll gain: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Data Ethics, Statistics, Quantitative Research, Data Analysis, Data Science, Sample Size Determination, Descriptive Statistics, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    331 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months