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    • Probability Distribution

    Probability Distribution Courses Online

    Study probability distributions for understanding data patterns. Learn about normal, binomial, and Poisson distributions.

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    Explore the Probability Distribution Course Catalog

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability Distribution, Probability, Statistics, Descriptive Statistics, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Electric Power Systems

      Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Basic Electrical Systems, Energy and Utilities, Electrical Equipment, Electrical Engineering, Electrical Safety, High Voltage, Schematic Diagrams, Emerging Technologies, Environment and Resource Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Generative AI, Tensorflow, Applied Machine Learning, Statistical Methods, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Probability & Statistics, Image Analysis, Supervised Learning, Machine Learning, Python Programming, Machine Learning Algorithms, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistics, Statistical Analysis, Probability & Statistics, Quantitative Research, Sampling (Statistics), Data Analysis, Probability Distribution, R Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Statistical Machine Learning, Unsupervised Learning, Supervised Learning, Machine Learning, Markov Model, Statistical Modeling, Statistical Methods, Graph Theory, Probability & Statistics, Probability Distribution, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Probability, Probability & Statistics, Statistical Hypothesis Testing, Probability Distribution, Statistical Inference, Statistics, Statistical Methods, Bayesian Statistics, Sampling (Statistics), Correlation Analysis, Data Science, Statistical Analysis, Descriptive Statistics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      323 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Sampling (Statistics), Probability Distribution, Statistical Analysis, Statistics, Regression Analysis, Quantitative Research, Data Analysis, Biostatistics, Data Quality, Statistical Inference, R Programming, Public Health, Time Series Analysis and Forecasting, Descriptive Statistics, Statistical Modeling, Epidemiology, Predictive Modeling, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Automation, Software Architecture, Simulation and Simulation Software, Deep Learning, Control Systems, Hardware Architecture, Estimation, Safety Assurance, Systems Architecture, Graph Theory, Artificial Intelligence and Machine Learning (AI/ML), Global Positioning Systems, Reinforcement Learning, Artificial Intelligence, Artificial Neural Networks, Spatial Data Analysis, Algorithms, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Combinatorics, Computational Logic, Computational Thinking, Probability, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Cryptography, Probability & Statistics, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Mathematical Modeling, Network Analysis, Encryption, Data Structures, Mathematical Theory & Analysis, Operations Research, Computer Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      Skills you'll gain: Risk Modeling, Mathematical Modeling, Regression Analysis, Predictive Modeling, Business Modeling, Financial Modeling, Predictive Analytics, Process Optimization, Risk Management, Data-Driven Decision-Making, Markov Model, Business Process Improvement, Simulation and Simulation Software, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Mathematical Theory & Analysis, Probability, Bayesian Statistics, Behavioral Economics, Problem Solving, Social Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.9K reviews

      Beginner · Course · 1 - 3 Months

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

    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
    • Electric Power Systems: University at Buffalo
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Inferential Statistics: Duke University
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Statistical Analysis with R for Public Health: Imperial College London
    • Self-Driving Cars: University of Toronto
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego

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