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.
35credentials
2online degrees
123courses

Explore the Probability Distribution Course Catalog

  • Status: Free Trial

    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

  • Status: Preview

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

  • Status: Free Trial

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

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

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

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

  • Status: Free Trial

    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, A/B Testing, Data Analysis, Data Science, Descriptive Statistics, Quantitative Research, Artificial Intelligence

What brings you to Coursera today?

  • Status: Free Trial

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

  • 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, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

  • Status: New
    Status: Free Trial

    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

  • Status: Free Trial

    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

  • 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

  • Status: Free Trial

    Kennesaw State University

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Project Management

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