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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
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    DeepLearning.AI Data Analytics

    Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    227 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Basic Inferential Statistics for Psychology

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Probability Distribution, Quantitative Research, Statistical Analysis, Statistical Software, Statistical Inference, Sampling (Statistics), Data Analysis, Analysis, Statistics, Probability, Analytical Skills, Regression Analysis, Psychology, Research Design, Research

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Green Belt

    Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Correlation Analysis, Data Collection, Regression Analysis

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Fundamentals of Scientific Research Under Uncertainty

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Experimentation, Investigation, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    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
    ·
    615 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Advanced · Professional Certificate · 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

  • DeepLearning.AI Data Analytics: DeepLearning.AI
  • Basic Inferential Statistics for Psychology: American Psychological Association
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Six Sigma Green Belt: Kennesaw State University
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
  • Machine Learning Fundamentals: Dartmouth College
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • AI and Machine Learning Essentials with Python: University of Pennsylvania

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