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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


  • Status: Free Trial
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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

  • Status: Free Trial
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    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

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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

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    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
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    867 reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    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

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Data Analytics Engineering: Probability & Techniques

    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Python Programming

    Mixed · 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

  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Bayesian Computational Statistics: Illinois Tech
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Combinatorics and Probability: University of California San Diego
  • Statistical Methods: University of Leeds
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan

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