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Probability Distribution Courses Online

Study probability distributions for understanding data patterns. Learn about normal, binomial, and Poisson distributions.

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Explore the Probability Distribution Course Catalog

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    349 reviews

    Advanced · Specialization · 3 - 6 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, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Data Science, Data Analysis, Statistical Modeling, Histogram, Pandas (Python Package), NumPy, Statistical Inference, Probability, Correlation Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

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

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    616 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    568 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Logistic Regression Fundamentals: Analyze & Predict

    Skills you'll gain: SAS (Software), Predictive Modeling, Regression Analysis, Analytics, Statistical Methods, Data Transformation, Statistical Analysis, Business Analytics, Logistics, Estimation, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Data Driven Manager

    Skills you'll gain: Sampling (Statistics), Engineering Management, Statistical Hypothesis Testing, Correlation Analysis, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Estimation, Data Analysis, Sample Size Determination, Statistical Analysis, Data Visualization, Statistical Software, Leadership and Management, Technical Management, Leadership, R (Software), Box Plots, Probability & Statistics, Problem Solving

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    English for Career Development

    Skills you'll gain: English Language, Vocabulary, Writing, Business Writing, Interviewing Skills, Verbal Communication Skills, Social Skills, Professional Networking, Job Analysis, Business Communication, Communication, Recruitment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17K reviews

    Mixed · Course · 1 - 3 Months

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

  • IBM AI Enterprise Workflow: IBM
  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • Statistics for Data Science with Python: EDUCBA
  • Foundational Mathematics for AI: Johns Hopkins University
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
  • Mathematics for Machine Learning: Imperial College London
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Introduction to Data Science in Python: University of Michigan
  • Logistic Regression Fundamentals: Analyze & Predict: EDUCBA

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