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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: Preview
    Preview
    P

    Peking University

    社会调查与研究方法 (上)Methodologies in Social Research (Part I)

    Skills you'll gain: Surveys, Social Sciences, Research Methodologies, Scientific Methods, Research Design, Experimentation, Data Collection, Qualitative Research, Sample Size Determination, Proposal Development, Healthcare Ethics, Probability & Statistics, Technical Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time:Sequential Hypothesis Testing

    Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Data-Driven Decision-Making, Analytics, Machine Learning Methods, Statistical Hypothesis Testing, Biomedical Engineering, A/B Testing, Computer Vision, Algorithms, Statistical Inference, Magnetic Resonance Imaging, Program Development, Probability Distribution, Medical Imaging

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Process Optimization, Statistical Methods, Performance Tuning, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    924 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    105 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

    4.1
    Rating, 4.1 out of 5 stars
    ·
    322 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Distributed Programming in Java

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Middleware, Scala Programming, Servers, Network Protocols

    4.6
    Rating, 4.6 out of 5 stars
    ·
    502 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

    3.7
    Rating, 3.7 out of 5 stars
    ·
    340 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Classical Cryptosystems and Core Concepts

    Skills you'll gain: Cryptography, Cybersecurity, Encryption, Key Management, Public Key Cryptography Standards (PKCS), Data Integrity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    417 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • 社会调查与研究方法 (上)Methodologies in Social Research (Part I): Peking University
  • Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
  • Experimentation for Improvement: McMaster University
  • Generative AI: Foundations and Concepts: Northeastern University
  • Sampling People, Networks and Records: University of Michigan
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Regression Modeling Fundamentals: SAS
  • Introduction to Linear Algebra: The University of Sydney
  • Distributed Programming in Java: Rice University
  • Fundamentals of Machine Learning in Finance: New York University

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