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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: New
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    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics, Mathematical Theory & Analysis, Arithmetic, Advanced Mathematics, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, R Programming, Statistical Analysis, Statistical Modeling, Regression Analysis, Statistical Inference, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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    N

    National Taiwan University

    頑想學概率:機率一 (Probability (1))

    Skills you'll gain: Probability, Probability Distribution, Statistics, Data Literacy, Logical Reasoning, Critical Thinking, Learning Strategies

    4.8
    Rating, 4.8 out of 5 stars
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    367 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
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    104 reviews

    Advanced · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    180 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    E

    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 1

    Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Scatter Plots, Microsoft Excel, Excel Formulas, Data Analysis, Bayesian Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Course · 1 - 3 Months

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

  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • 頑想學概率:機率一 (Probability (1)): National Taiwan University
  • Statistical Learning: Illinois Tech
  • Causal Inference: Columbia University
  • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA

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