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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


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    G

    Georgia Institute of Technology

    Fundamentals of Engineering Exam Review

    Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
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    616 reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of Geneva

    Simulation and modeling of natural processes

    Skills you'll gain: Simulations, Python Programming, Statistical Methods, Numerical Analysis, Mathematical Modeling, Probability Distribution, Mechanics, Physics

    4.3
    Rating, 4.3 out of 5 stars
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    411 reviews

    Mixed · Course · 1 - 3 Months

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    I

    IE Business School

    Marketing Mix Implementation

    Skills you'll gain: Marketing Communications, Product Lifecycle Management, Customer experience strategy (CX), Integrated Marketing Communications, Brand Strategy, Advertising, Marketing, Marketing Budgets, Strategic Decision-Making, Brand Management, Brand Marketing, Product Management, Price Negotiation, Marketing Strategies, Retail Management, Marketing Channel, Product Strategy, Revenue Management, Merchandising, Communication

    4.7
    Rating, 4.7 out of 5 stars
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    6.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Model Evaluation, Predictive Modeling, Regression Analysis, Machine Learning, Statistical Modeling, Logistic Regression, Probability & Statistics, Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

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    D

    Duke University

    Behavioral Finance

    Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Analysis, Economics, Psychology, Probability & Statistics, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

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    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    Y

    Yale University

    Moral Foundations of Politics

    Skills you'll gain: Political Sciences, Environmental Issue, Policy Analysis, Social Justice, Social Studies, Social Sciences, Ethical Standards And Conduct, Governance, Health Equity, Economics, Law, Regulation, and Compliance

    4.9
    Rating, 4.9 out of 5 stars
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    6.1K reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Pseudocode, Algorithms, Probability Distribution, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
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    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamentals of Macroscopic and Microscopic Thermodynamics

    Skills you'll gain: Mechanical Engineering, Statistical Methods, Engineering, Physics, Probability Distribution, Physical Science, Chemistry, Calculus

    4.3
    Rating, 4.3 out of 5 stars
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    268 reviews

    Advanced · Course · 1 - 4 Weeks

Searches related to probability distribution

using probability distributions for real world problems in r
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In summary, here are 10 of our most popular probability distribution courses

  • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
  • Simulation and modeling of natural processes: University of Geneva
  • Marketing Mix Implementation: IE Business School
  • Machine Learning Fundamentals: Dartmouth College
  • Algorithms: Stanford University
  • Behavioral Finance: Duke University
  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • Fundamentals of Computing: Rice University
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Moral Foundations of Politics : Yale University

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