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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
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    311 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Financial Risk Management with R

    Skills you'll gain: Portfolio Risk, Financial Market, Risk Management, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Estimation, Statistical Modeling, Simulation and Simulation Software

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    255 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Advanced SAS Programming, Macros & Reporting

    Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Introduction to Self-Driving Cars

    Skills you'll gain: Control Systems, Robotics, Embedded Software, Automation, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Computer Vision, Mathematical Modeling, Safety Standards, Global Positioning Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Define and Measure Phases

    Skills you'll gain: Process Capability, Team Management, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Statistical Methods, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Data Collection, Performance Measurement, Regression Analysis, Probability, Statistics, Process Improvement, Quality Improvement, Business Process, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Design of General Utility Systems

    Skills you'll gain: Energy and Utilities, Process Engineering, Plant Operations and Management, Electrical Systems, Process Control, Water Quality, Control Systems, Engineering Design Process, Construction Engineering, Materials science

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Preparing Images for AI Models

    Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management

    Intermediate · Course · 1 - 4 Weeks

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

  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Machine Learning: Classification: University of Washington
  • Experimental Design Basics: Arizona State University
  • Financial Risk Management with R: Duke University
  • Advanced SAS Programming, Macros & Reporting: EDUCBA
  • SAS Machine Learning Engineer: SAS
  • Self-Driving Cars: University of Toronto
  • Introduction to Self-Driving Cars: University of Toronto
  • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
  • Introduction to Neural Networks and PyTorch: IBM

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