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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
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    English for Science, Technology, Engineering, and Mathematics

    Skills you'll gain: Research, Vocabulary, Climate Change Adaptation, Learning Strategies, English Language, Environment, Sustainable Technologies, Scientific Methods, Materials science, Environmental Engineering, Environmental Science, Grammar

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    46 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Data Analysis and Visualization with Microsoft Excel

    Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Excel Formulas, Data Transformation, Data Presentation, Microsoft Excel, Data Visualization, Sampling (Statistics), Dashboard, Data Visualization Software, Spreadsheet Software, Report Writing, Pivot Tables And Charts, Data Analysis, Statistical Analysis, Data Cleansing, Microsoft Office, Geospatial Mapping, Microsoft 365, Productivity Software

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete Quantum Computing Course for Beginners

    Skills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    85 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Infectious Disease Modelling

    Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, Model Evaluation, Predictive Modeling, R Programming, Differential Equations, Data Modeling, Statistical Methods, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    297 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    311 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Advanced Topics in Derivative Pricing

    Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    User Experience Research and Design

    Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • Data Analysis and Visualization with Microsoft Excel: Logical Operations
  • The Complete Quantum Computing Course for Beginners: Packt
  • Automate, Analyze, and AI Feedback: Coursera
  • Infectious Disease Modelling: Imperial College London
  • SAS Machine Learning Engineer: SAS
  • Experimental Design Basics: Arizona State University
  • Introduction to Neural Networks and PyTorch: IBM

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