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.
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Explore the Probability Distribution Course Catalog

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Applied Mathematics, Mathematical Modeling, Statistical Modeling, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    310 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    University of Pittsburgh

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), 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

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    Beginner · Specialization · 1 - 3 Months

  • 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
    257 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
    614 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

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  • 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: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Multimodal Prompts, Generative Model Architectures, Keras (Neural Network Library), Deep Learning, Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Tensorflow, Artificial Intelligence, Data Ethics, Applied Machine Learning, Data Processing, Statistical Methods, Linear Algebra, Probability Distribution

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    4.3
    Rating, 4.3 out of 5 stars
    12 reviews

    Intermediate · Specialization · 1 - 3 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, Probability Distribution, Applied Mathematics, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Rice University

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Business Analysis, Statistical Methods, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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: New
    Status: Free Trial

    University of Pittsburgh

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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