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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.


More to explore:

Popular Probability Distribution Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    188 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Integral Calculus through Data and Modeling

    Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    137 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Alberta

    Science Literacy

    Skills you'll gain: Scientific Methods, Science and Research, General Science and Research, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Experimentation, Media and Communications, Correlation Analysis, Journalism, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    270 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    283 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Lausanne

    La science forensique au tribunal: témoin digne de foi ?

    Skills you'll gain: Statistical Methods, Criminal Investigation and Forensics, Court Systems, Report Writing, Probability & Statistics, Technical Communication, Scientific Methods, Analysis, Case Studies, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Stanford's Short Course on Breastfeeding

    Skills you'll gain: Child Health, Maternal Health, Infant Care, Preventative Care, Family Support, Nutrition and Diet

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Safety in the Utility Industry

    Skills you'll gain: Personal protective equipment, Environmental Regulations, Safety Training, Occupational Safety and Health Administration (OSHA), Hazard Analysis, Energy and Utilities, Safety Standards, Hazard Communication (HazCom), Safety and Security, Fire And Life Safety, Regulatory Compliance, First Aid, Emergency Response

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Integral Calculus through Data and Modeling: Johns Hopkins University
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Sampling People, Networks and Records: University of Michigan
  • Moneyball and Beyond: University of Michigan
  • Science Literacy : University of Alberta
  • Deep Learning and Reinforcement Learning: IBM
  • La science forensique au tribunal: témoin digne de foi ? : University of Lausanne
  • Stanford's Short Course on Breastfeeding: Stanford University

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