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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 Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, People Analytics, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Machine Learning Methods, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks

    3.9
    Rating, 3.9 out of 5 stars
    ·
    379 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Network Model, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Mathematics and Mathematical Modeling, Logical Reasoning, General Mathematics, Algorithms, Probability, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
    ·
    203 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a los modelos de demanda de transporte

    Skills you'll gain: Data Collection, Transportation Operations, Surveys, Statistical Modeling, Quantitative Research, Mathematical Modeling, Sampling (Statistics), Predictive Modeling, Statistical Methods, Regression Analysis, Network Model, Model Evaluation, Logistic Regression, Probability Distribution, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    466 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Applied Machine Learning, Data Engineering, Web Scraping, AI Personalization, Model Evaluation, Machine Learning Algorithms, Web Analytics and SEO, Machine Learning, Model Optimization, Network Analysis, Statistical Methods, Statistical Modeling, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    965 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
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    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Model Diagnostics and Remedial Measures

    Skills you'll gain: Model Evaluation, Regression Analysis, Verification And Validation, Feature Engineering, Plot (Graphics), Statistical Methods, Statistical Modeling, Scatter Plots, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Time Series Analysis and Forecasting, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Science and Research, Statistical Methods, Scientific Methods, Data Analysis Software, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Software, Mathematical Software, Design Strategies, Probability & Statistics, Descriptive Statistics, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    317 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Tropical Parasitology: Protozoans, Worms, Vectors and Human Diseases

    Skills you'll gain: Infectious Diseases, Pathology, Healthcare Ethics, Microbiology, Infection Control, Public Health and Disease Prevention, Diagnostic Tests, Neurology, Public Health, Biology, Case Studies, Patient Treatment, Preventative Care, Clinical Assessment, Pharmacotherapy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    743 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Markov Model, Advanced Mathematics, Simulations, Integral Calculus, Correlation Analysis, Control Systems, Probability, Simulation and Simulation Software, Probability & Statistics, Statistical Methods, Applied Mathematics, Probability Distribution, Engineering Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Sports Performance Analytics: University of Michigan
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Discrete Mathematics: Shanghai Jiao Tong University
  • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
  • Machine Learning: Classification: University of Washington
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Model Diagnostics and Remedial Measures: Illinois Tech
  • Experimental Design Basics: Arizona State University

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