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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


  • A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    144 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    AWS Cloudfront: Serve content from multiple S3 buckets

    Skills you'll gain: Amazon S3, Amazon Web Services, Cloud Hosting, Distributed Computing, Content Management Systems, System Configuration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    86 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IIT Bombay

    Introduction to Business Management : Winning Externally

    Skills you'll gain: Customer Service, Advertising, Market Research, Value Propositions, Brand Management, Customer Relationship Management, Target Market, Marketing Communications, Logistics, Customer Insights, Supply Chain Management, Sales Management, B2B Sales, Marketing Strategies, Selling Techniques, Competitive Analysis, Communication

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • S

    Shanghai Jiao Tong University

    离散数学

    Skills you'll gain: Combinatorics, Graph Theory, Data Structures, Algorithms, Logical Reasoning, Theoretical Computer Science, Computational Thinking, Computer Science, Applied Mathematics, Network Model, Deductive Reasoning, Computational Logic, Network Analysis, Advanced Mathematics, Analytical Skills, Arithmetic, Applied Machine Learning, Probability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 3 Months

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

  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • Introduction to Predictive Modeling: University of Minnesota
  • AWS Cloudfront: Serve content from multiple S3 buckets: Coursera
  • Introduction to Business Management : Winning Externally: IIT Bombay
  • Approximation Algorithms Part II: École normale supérieure
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • AI Workflow: AI in Production: IBM
  • How to Describe Data: University of Michigan
  • Factorial and Fractional Factorial Designs: Arizona State University

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